Shows
Build and LearnChatGPT, LLMs, OpenAI, doom or boon?In this episode, Colin and CJ discuss using the new GPT tools for work and play.Open AILarge language modelsGenerative AIHow do we use it, and is it going to be doom & gloom?How We Use ItBrainstorming & riffing on ideas I was building something in React and hadn’t touched React in a few years. I had all this iteration going on in my components to generate dynamic content. Still, I wanted the topmost component to be able to have references to all these components to download them all as images in a zip file.Ass...2023-04-1736 min
The Dock with Omar WaseemE13 Siraj Raval: The Future Of AI, Getting Canceled, Beef With Lex FridmanOmar Waseem (@omarwasm) and Vishal Kolar (@vishalkolr) sit down with Siraj Raval (@SirajRaval), AI and machine learning YouTuber, to talk about his YouTube journey, dropping out of Columbia University, reversing his age, dealing with bipolar disorder, cancel culture, getting recognized in public, how a future with AI will look, and much more...
The Dock is a Founders, Inc. show. Learn more about Founders, Inc. at:
https://f.inc
Links:
· Siraj's Youtube
· The Dock
Timestamps:
0:00 - Intro
5:25 - Why He Dropped out of College
...2023-02-011h 17
Ninja Marketing News: le notizie su Digital, Tech, Marketing, Social e Business da Ninja.itApple non aspira al metaversoStai ascoltando un estratto gratuito di Ninja PRO, la selezione quotidiana di notizie per i professionisti del digital business. Con Ninja PRO puoi avere ogni giorno marketing insight, social media update, tech news, business events e una selezione di articoli di approfondimento dagli esperti della Redazione Ninja. Vai su www.ninja.it/ninjapro per abbonarti al servizio.Apple rinuncia al metaverso. Il prossimo headset di realtà mista dell'azienda non sarà usato per spingere le capacità del metaverso. L'argomento resta apparentemente "off limits" per il marchio e, invece, il nuovo dispositivo si concentrerà sulla comunicazione, il gioco e la visu...2022-01-1302 min
Yannic Kilcher Videos (Audio Only)[YTalks] Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)#ytalks #siraj #plagiarism
A conversation with Siraj Raval about his journey on YouTube, and the perils of fame.
OUTLINE:
0:00 - Intro
1:30 - Welcome
3:15 - Starting out: From Economics to YouTube
13:00 - More Views: Plagiarizing Video Content
23:30 - One Step Up: Copying A Research Paper
29:15 - Was there another way?
39:00 - Clickbait Course: Make Money with Machine Learning
50:30 - Rock Bottom and the Way Forward
1:01:30 - Advice for Future Generations
2021-11-011h 06
Machine Learning Street Talk (MLST)Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)Yannic has a conversation with Siraj Raval about his journey on YouTube, and the perils of fame.
Siraj Raval was a famous ML youtuber who was caught plagiarising his content and having a catastrophic fall from grace.
OUTLINE:
0:00 - Intro
1:30 - Welcome
3:15 - Starting out: From Economics to YouTube
13:00 - More Views: Plagiarizing Video Content
23:30 - One Step Up: Copying A Research Paper
29:15 - Was there another way?
39:00 - Clickbait Course: Make Money with Machine Learning
50:30 - Rock...2021-10-311h 06
Carreira Talks PodcastWRAP UP 002 - INTELIGÊNCIA ARTIFICIAL COM GUILHERME UZEDA - NeoBPO BEM-VINDOS AO WRAP UP! ↴ O objetivo desta série de entrevistas é o de compartilharmos, de forma prática informações focadas em determinados temas ligados às principais agendas de mercado como: Inovação, Transformação Digital, Diversidade & Inclusão, Mentalidade e Comportamento Digital.A idéia é compartilhar as experiências, principais aprendizados, insights e conselhos dos nossos convidados em temas específicos para profissionais que desejam aprender mais sobre isso.NESTE EPISÓDIO ↴ O convidado de hoje é o Guilherme Uzeda!Sempre gostou de cons...2020-07-061h 25
In the MakingSVM Crash Course: Data Science Rewind #1Additional Resources on Support Vector Machines
Walkthrough Example by Alice Zhao: https://youtu.be/N1vOgolbjSc
Explanation by Siraj Raval: https://youtu.be/g8D5YL6cOSE
Make School's SVM Lesson, in DS 2.1: https://github.com/Make-School-Courses/DS-2.1-Machine-Learning/blob/master/Lessons/SupportVectorMachine.md
Sklearn Documentation: https://scikit-learn.org/stable/index.html
Make School's Tutorial on Machine Learning Classifiers: https://www.makeschool.com/academy/track/ds-2-1-classification-tutorial
Tensorflow Crash Course by Free Code Camp: https://www.freecodecamp.org/news/massive-tensorflow-2-0-free-course/
Google Machine...2020-04-1326 min
Front & Center with Jacquie JordanArtificial Intelligence, Part 4 - Front & Center with Jacquie Jordan Host Jacquie Jordan (two-time Emmy nominated TV Producer, three-time author, New York Times bestselling author), co-hosts Phillip Andrew Barbb (two-time Emmy nominated TV Producer, author) and Stephanie Cobian (TV Producer, writer, Production Coordinator) speak with the change agents, storytellers, and activators behind the scenes making impact. Artificially Intelligent - Segment 4 of 4: Everyone has an opinion about millennials in the workplace but guest Joanna Massey, Ph.D., MBA, Corporate Media PR Consultant, says, millennials are valuing their time and boundaries. Front & Center with Jacquie Jordan and her co-hosts Phillip Andrew Barbb and Stephanie Cobian discuss millennials and entitlement vs rights and mo...2019-12-1623 minFront & Center with Jacquie JordanArtificial Intelligence Part 3 - Front & Center with Jacquie Jordan Host Jacquie Jordan (two-time Emmy nominated TV Producer, three-time author, New York Times bestselling author), co-hosts Phillip Andrew Barbb (two-time Emmy nominated TV Producer, author) and Stephanie Cobian (TV Producer, writer, Production Coordinator) speak with the change agents, storytellers, and activators behind the scenes making impact. Artificially Intelligent - Segment 3 of 4: Jacquie and her co-hosts Phillip and Stephanie talk with Darren Campo, NYU Professor and multi-sci-fi author, on staying relevant in the changing world of technology. Additional conversations in this podcast series include a deep dive into the world of artificial intelligence with Siraj Raval (AI expert and author) and an o...2019-12-0912 minFront & Center with Jacquie JordanArtificial Intelligence Part 2 - Front & Center with Jacquie Jordan Host Jacquie Jordan (two-time Emmy nominated TV Producer, three-time author, New York Times bestselling author), co-hosts Phillip Andrew Barbb (two-time Emmy nominated TV Producer, author) and Stephanie Cobian (TV Producer, writer, Production Coordinator) speak with the change agents, storytellers, and activators behind the scenes making impact. Artificially Intelligent - Segment 2 of 4: Jacquie Jordan and her co-hosts Phillip Andrew Barbb and Stephanie Cobian deep dive into the world of artificial intelligence with Siraj Raval (AI expert and author). Additional topics in this podcast series include discussing how to stay relevant in the ever changing world of AI with Darren Campo (sci-fi author...2019-12-0218 minFront & Center with Jacquie JordanArtificial Intelligence Part 1 - Front & Center with Jacquie Jordan Host Jacquie Jordan (two-time Emmy nominated TV Producer, three-time author, New York Times bestselling author), co-hosts Phillip Andrew Barbb (two-time Emmy nominated TV Producer, author) and Stephanie Cobian (TV Producer, writer, Production Coordinator) speak with the change agents, storytellers, and activators behind the scenes making impact. Artificially Intelligent - Segment 1 of 4: Jacquie Jordan and her co-hosts Phillip Andrew Barbb and Stephanie Cobian tackle technology and artificial intelligence and what it means to them and how it translates into everyday life. In our following Artificially Intelligent episodes, our team takes a deeper dive into the world of artificial intelligence with Siraj Rava...2019-11-2510 minFront & Center with Jacquie JordanAll That Glitters is Not Gold Part 4 - Front & Center with Jacquie Jordan Host Jacquie Jordan, co-hosts Phillip Andrew Barbb and Stephanie Cobian introduce Front & Center where they will be talking with change agents, storytellers, and activators behind the scenes making impact. All That Glitters is Not Gold - Podcast 4 of 4: Jacquie Jordan and her co-hosts Phillip Andrew Barbb and Stephanie Cobian discuss how the original saying "All That Glitters is Not Gold" by Shakespeare translates on screen in the entertainment industry through a few of their own personal experiences. Our hosts share in the glamour of meeting some of Hollywood's elite and sometimes it's not always glitter and sparkle as they get pers...2019-11-1817 min
Data Driven*DataPoint* In Defense of Siraj RavalIn this DataPoint, Frank explains why Siraj Raval has been and still can be a force for good and the democratization of AI.
2019-10-2207 min
The Path to CircularityUltracapacitors, Quantum Supremacy, Synthetic Life, and Much More!New and exciting developments happening. My sources are from the Seeker Youtube Channel, and Siraj Raval's Channel. Enjoy!
---
This episode is sponsored by
· Anchor: The easiest way to make a podcast. https://anchor.fm/app
Support this podcast: https://anchor.fm/matt-gaboury/support2019-10-1018 min
The UPStarts PodcastWhere AI Doesn't Work: The UPStarts Podcast********DESCRIPTION************
In this episode, I share the types of tasks which A.I. is not well suited for, as well as dive into the psychology of causal reasoning which, if acquired by A.I. systems, could make it possible in the future for them to do these tasks.
********RESOURCES************
Siraj Raval's "3 Limits of Artificial Intelligence" (video on YouTube)
********CONTINUE THE CONVERSATION*******
Send me a voice message, to have your thoughts featured on the The UPStarts Podcast!
Twitter: @ZainRaz14,
Instagram: zraza_theupstart,
Linkedin: https://www.linkedin.com...2019-07-1914 min
Discussing Stupid: A byte-sized podcast on stupid UXThe Semantics of Search | Brett Matson, FunnelbackIn this episode of the Discussing Stupid podcast your host Virgil Carroll has a conversation with Brett Matson, the Managing Director of Funnelback Search Technology, about search, semantic search, knowledge graphs, artificial intelligence in search, and the related leverages and pitfalls. Brett shares that there are several big things coming in the area of search, after reaching a plateau and stagnation for a few years. Some of these are paradigmatic (understanding the search has multiple purposes, not just page rankings,) and some include changing the approach (i.e. modifying queries,) changing presentation of results (modules,) knowledge graphs, s...2019-05-1546 min
Siraj RavalWatch Me Build a Marketing StartupI've built an app called VectorFunnel that automatically scores leads for marketing & sales teams! I used React for the frontend, Node.js for the backend, PostgreSQL for the database, and Tensorflow.js for scoring each lead in an excel spreadsheet. There are a host of other tools that I used like ClearBit's data API and various Javascript frameworks. If you have no idea what any of that is, that's ok I'll show you! In this video, I'll explain how I built the app so that you can understand how all these parts fit together. The learning goal here is to...2019-04-2245 min
Siraj RavalAI in 2040What does the field of Artificial Intelligence look like in 2040? It's a really hard question to answer since there are still so many unanswered questions about the nature of reality and computing. In this episode, I'll make my best predictions about AI hardware, AI software, and the societal impact of AI in 2040. We'll cover quantum mechanics, neuromorphic computing, DNA storage, decentralized computing, basic income, and mind-body machines. Enjoy!
Code for this video:
https://github.com/llSourcell/quantum_machine_learning_LIVE/blob/master/Demo.ipynb
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with...2019-04-1613 min
Siraj RavalMake Money with Tensorflow 2.0I've built an app called NeuralFund that uses Tensorflow 2.0 to make automated investment decisions. I used Tensorflow 2.0 to train a transformer network on time series data that i downloaded using the Yahoo Finance API. Then, I used Tensorflow Serving + Flask to create a simple web app around it. I'll explain what the important parts you should know in Tensorflow 2.0 are, then I'll guide you through my code & thought process of building an AI startup using it. Enjoy!
Code for this video:
https://github.com/llSourcell/Make_Money_with_Tensorflow_2.0
Please Subscribe! And like. And comment. That's what keeps me going.
...2019-04-0937 min
Siraj RavalBuild an AI Startup with PyTorchI've built an automated therapist app called MindRelaxr using PyTorch and a host of other tools (Dialogflow, Tensorflow Lite, Firebase, ONNX, Paypal, and Android Studio). I'm going to show you how I integrated these tools together to build a paid service that uses AI generated Cognitive Behavioral Therapy techniques to help people reduce their depression and anxiety. This app uses a sentiment analysis model trained in PyTorch as well as Google's cloud natural language processing service 'dialogflow' to provide low cost therapy. Enjoy!
Code for this video (includes the #AIStartupChallenge details):
https://github.com/llSourcell/Build-an-AI-Startup-with-PyTorch
Please Subscribe! And like...2019-04-0848 min
Siraj RavalAI for DatingAlgorithms govern so much of our lives and dating is no exception! In this video, I frame dating as a data science pipeline and demo how to use AI algorithms to help facilitate discovery, first impressions, and even intimacy. I'll also explain how collaborative filtering and text generation are being used today to match people together with code examples. I hope this gives you a deeper insight into the role technology is currently playing in human relationships. Enjoy!
Code for this video:
https://github.com/llSourcell/AI_for_Dating
Please Subscribe! And like. And comment. That's what keeps me going.
...2019-04-0212 min
Siraj RavalWatch Me Build an AI StartupI'm going to build a medical imaging classification app called SmartMedScan! The potential customers for this app are medical professionals that need to scale and improve the accuracy of their diagnoses using AI. From ideation, to logo design, to integrating features like payments and AI into a single app, I'll show you my 10 step process. I hope that by seeing my thought process and getting familiar with the sequence of steps I'll demonstrate,, you too will be as inspired as I am to use this technology to do something great for the world. Enjoy!
Code for this video:
https://github...2019-03-2739 min
Siraj RavalNatural Language ProcessingNatural Language Processing is a field of Artificial Intelligence dedicated to enabling computers to understand and communicate in human language. NLP is only a few decades old, but we've made significant progress in that time. I'll cover how its changed over the years, then show you how you can easily build an NLP app that can either classify or summarize text. This is incredibly powerful technology that anyone can freely use, I'll show you how to do it. Enjoy!
Code for this video:
https://github.com/llSourcell/bert-as-service
Please Subscribe! And like. And comment. That's what keeps me going.
Want...2019-03-2612 min
Siraj RavalReally Quick Questions - Nvidia ResearchNvidia is the inventor of the GPU! This tech company based in Silicon Valley has played a huge role in the deep learning revolution (which has relied primarily on GPUs for computing), and its transformed many industries. In this video, I interview Bryan Catanzaro, the Vice President of Applied Deep Learning Research at NVIDIA. Bryan got his PhD in AI from Berkeley, invented a language called Copperhead, and is an expert in parallel programming theory. Nvidia invited me to their annual conference, so I took the opportunity to ask Bryan 67 questions while walking through the halls. Enjoy!
Please Subscribe! And...2019-03-2408 min
Siraj RavalDiscrete MathDiscrete Math is a subject everyone interested in Computer Science needs to understand. It consists of math branches like graph theory, set theory, number theory, & combinatorics. It helps create databases, algorithms, & security structures. In this video, I'll explain the most relevant topics in Discrete Math one by one as we try to decrypt the password for a SQL database. Along the way, we'll use discrete math in various ways. I wanted to see if I could summarize an important course I took in college in a single video. Enjoy!
Code for this video:
https://github.com/llSourcell/DiscreteMath
Please Subscribe...2019-03-1911 min
Siraj RavalHealthcare DataI recently flew to Singapore to give a keynote on AI in healthcare and attend a panel discussion on the same topic hosted by School of AI and sponsored by Accenture. School of AI is a nonprofit with a goal of giving everyone on Earth a world-class AI education for free. This was a launch event for our first global hackathon called Health Hack that will be hosted in over 30 cities around the world by our Deans (community representatives). In this video, you'll learn about automated diagnostics, synthetic biology, drug discovery, and the ethical implications of AI. Enjoy!
Link to...2019-03-1255 min
Siraj RavalUnsupervised LearningUnsupervised learning is the most exciting subfield of machine learning! Finding structure in unstructured data automatically sounds like a dream come true, no need to have a label! In this video, I'll demonstrate 2 types of unsupervised learning techniques; k means clustering and principal component analysis. We'll use these techniques on neural data from a patient suffering from seizures to see if we can locate the part of their brain in need of surgery to save their life. You'll laugh, you'll cry, but most importantly, you'll learn. Enjoy!
Code for this video:
https://github.com/llSourcell/spike_sorting
Please Subscribe! And...2019-03-1110 min
Voices in AIEpisode 81: A Conversation with Siraj Raval
In this episode Byron and Siraj Raval discuss machine learning, teaching ai and the use of ai for the betterment of the world.
Episode 81: A Conversation with Siraj Raval2019-03-0750 min
Siraj RavalMachine Learning with No CodeIs it possible to use machine learning without needing to code? The answer is yes! Uber's AI lab recently open sourced python library called Ludwig that they've been using internally for 2 years. The tagline is that it allows anyone to use deep learning without coding. It will require some configuration and unix commands to setup, but I'll show you how in this video. I'll also talk about other code-free tools like Azure ML Studio, DataRobot, and DeepCognition. Enjoy!
Code for this video:
https://github.com/llSourcell/ludwig
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more...2019-03-0511 min
Siraj RavalDeepMind StarCraftThe AI research lab DeepMind created an algorithm that beat a top professional StarCraft 2 player for the first time! This is a huge achievement since this is an incredibly complex game that requires long term planning, game theory, and cooperative play. Their algorithm used a mixture of techniques that in the field of deep reinforcement learning. I'll explain how each of these techniques works, and how they all work together in unison. This is an exciting time for the field. Enjoy!
Code for this video:
https://github.com/llSourcell/pysc2
Please Subscribe! And Like. And comment. Thats what keeps me...2019-03-0413 min
Siraj RavalOpenAI Text GeneratorOpenAI has the entire AI community debating its decision to not release the fully trained version of its powerful new text generator model dubbed GPT-2. I'm going to explain how GPT-2 works using code, math, and animations. We'll discuss its potential applications (both good and bad), ways of preventing misuse, and at the end of the video I'll give my take on whether OpenAI was justified in doing so. The transformer architecture is quickly replacing recurrent networks for sequence learning, and OpenAI's GPT-2 is the latest example of using it at scale. Enjoy!
Code for this video:
https://github.com...2019-02-2613 min
Siraj RavalKaggle Earthquake Prediction ChallengeData Science coding challenge time! The popular Data Science competition website Kaggle has an ongoing competition to solve the problem of earthquake prediction. Given a dataset of seismographic activity from a laboratory simulation, participants are asked to create a predictive model for earthquakes. In this video, I'll attempt the challenge as a way to teach 3 concepts; the Data Science mindset, Categorical Boosting, and Support Vector Regression models. I'll be coding this using python from start to finish in the online Google colab environment. Enjoy!
Code for this video:
https://github.com/llSourcell/Kaggle_Earthquake_challenge
Please Subscribe! And Like. And...2019-02-1930 min
Siraj RavalRegression MathematicsEveryone needs to understand regression! Its a useful data science technique that allows us to understand the relationship between different variables. In this video, we'll play the role of a newly hired data analyst at a genetics company trying to find the relationship between advertising mediums (TV, newspaper, radio) and ticket sales to our newly opened theme park. Along the way, we'll learn about 5 types of regression models (linear, non-linear, multiple, lasso, and ridge). Expect math, code, and layers of explanation. Enjoy!
Code for this video:
https://github.com/llSourcell/ISL-Ridge-Lasso
Please Subscribe! And Like. And comment. Thats what keeps...2019-02-1812 min
Siraj RavalBig Data Visualization - Data Lit #3There are so many different ways to visualize data! We're going to learn about the major types of visualizations (relationships, correlations, comparisons) as well as discuss some of the many powerful visualization tools that are available to us. Google Charts, Tableau, there are a lot! We'll break down the visualization process along many dimensions, revealing the subtleties that can make or break a chart. Using the plotly library. we'll visualize a Medium blog post dataset many different ways. Enjoy!
Code for this video:
https://github.com/llSourcell/Data_Visualization
Please Subscribe! And Like. And comment. Thats what keeps me going.
...2019-02-1112 min
Siraj RavalIntro to Statistics - Data Lit #2Statistics is crucial to Data Science! In fact, the phrase Data Science was first used in a Statistics conference title. In this video, I'll cover 3 key concepts from Statistics that every Data Scientist needs to know. Statistical features, probability distributions, and Bayesian statistics will be explained using code, theory, and animations. Our specific application will be finding an optimal credit score for someone using Lending Club's loan data. Expect a musical interlude. Enjoy!
Code for this video:
https://github.com/llSourcell/LoanDefault-Prediction
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more education? Connect with me here:
...2019-02-0413 min
Siraj RavalKaggle DaysThis past week Kaggle invited me to attend an event they hosted called Kaggle Days in Paris, France. Kaggle Days are a global series of offline events for seasoned data scientists and Kagglers. It was a lot of fun! I met some really interesting people from all over the world and the venue they booked is the biggest startup campus in the world (Station F). In this video, I'll introduce Kaggle Days, interview 5 top data scientists, and conclude with a demo from a top Kaggler on inventory prediction. Enjoy!
Code for this video:
https://github.com/llSourcell/invent-prediction
Please Subscribe...2019-02-0110 min
Siraj RavalSentiment Analysis - Data Lit #1Welcome to Data Lit! This 3 month course is an intro to data science for beginners. In this video, i'll explain how a popular data science technique called sentiment analysis works using a real-world scenario. We'll play the role of a data scientist working at a startup making a personal healthcare device. Using sentiment analysis, we'll understand how consumers feel about a competitors product. That'll help us make decisions on how to promote our own product, and what feature we can focus on the most. Using Python, Twitter, and Google Colab, anyone can do this process in just a few minutes...2019-01-2810 min
Siraj RavalDeep Learning Frameworks 2019Which deep learning framework should you use? In this video I'll compare 10 deep learning frameworks across a wide variety of metrics. PyTorch, Tensorflow, MXNet, Chainer, CNTK, Sonnet, DeepLearning4J, CoreML, ONNX, we've got a lot to cover in this video! Using code, programmatic features, and theory, I'll navigate this field ultimately coming to some clear conclusions. Enjoy!
Code for this video:
https://github.com/llSourcell/DeepLearningFrameworks
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
instagram: https://www.instagram.com/sirajraval
Facebook: https://www.facebook.com...2019-01-2213 min
Siraj RavalAI Humanities (Book Review)Welcome to AI Humanities! I'm going to review 10 books that I've recently read in this video. I've formed these books into a sequential curriculum that serve as an "AI Humanities" elective class at School of AI. Literature Humanities was one of the few classes at Columbia I enjoyed, and I'm taking the structure that I learned there and evolving it into one dedicated to AI. These books have all helped me immensely in my brainstorming and ideation phases. I hope you find them useful too. Enjoy!
Curriculum for this video:
https://github.com/llSourcell/AI_Humanities
Please Subscribe! And Like...2019-01-2113 min
Siraj RavalData Lit (Music Video)Make the data lit! This lyrics of this music video are actually educational and they serve as an introductory lecture on AI. This video also acts as a teaser trailer for my upcoming, free 3 month Data Science course for beginners titled "Data Lit" at School of AI (Jan 28 start date). 2019 is our year to shine Wizards, I hope my song gets you as hype as I am to make a huge impact in the world using the power of AI and data. Enjoy!
Please Subscribe! And like. And comment. That's what keeps me going.
Sign up for the "Data Lit"...2019-01-1702 min
Siraj RavalDeepMind AlphaFoldDeepMind, an AI lab & complete outsider to the field of molecular biology, beat top pharmaceutical companies with 100K+ employees like Pfizer, Novartis, etc. at predicting protein structures. This is huge! DeepMind didn't yet release the paper or code, so I browsed the CASP reports and different related papers to reverse engineer the architecture as best as I could. What I ended up doing is forking a related research papers code and repurposing it, since its very similar (2 residual networks were used). In this episode, i explain the different components of its architecture, why the protein folding problem is so important...2019-01-1512 min
Siraj RavalNeural Differential EquationsThis won the best paper award at NeurIPS (the biggest AI conference of the year) out of over 4800 other research papers! Neural Ordinary Differential Equations is the official name of the paper and in it the authors introduce a new type of neural network. This new network doesn't have any layers! Its framed as a differential equation, which allows us to use differential equation solvers on it to approximate the underlying function of time series data. Its very cool and will ultimately allow us to learn from irregular time series datasets more efficiently, which applies to many different industries. I'll...2019-01-1435 min
Siraj RavalKubernetes for BeginnersKubernetes is one of the highest velocity open source projects in history. Its a tool that enables developers to manage 'containerized' apps in the cloud easily. In this tutorial video, I'll deploy an image classifier app built in python to the cloud using Kubernetes. It's a 3 step process, and along the way I'll explain key concepts surrounding Docker, Google Cloud, and scalability. Enjoy!
Code for this video:
https://github.com/llSourcell/kubernetes
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
instagram: https://www.instagram.com...2019-01-0811 min
Siraj RavalAI in 20192018 has been an eventful year for AI to say the least! We've seen advances in generative models, the AlphaGo victory, several data breach scandals, and so much more. I'm going to briefly review AI in 2018 before giving 10 predictions on where the space is going in 2019. Prepare yourself, my predictions range from more Kubernetes infused ML pipelines to the first business use case of generative modeling of 3D worlds. Happy New Year and enjoy!
Code for this video:
https://github.com/llSourcell/kubernetes
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more education? Connect with me here:
...2018-12-3112 min
Siraj RavalThe Problem with BlockchainThe blockchain space has seen its fair share of issues in 2018. This technology enabled anyone, anywhere to create their own market programmatically. The result was incredible innovation, many high profile scams, and a lot of hard lessons on what doesn't work. I authored a book on this space because I believed in the potential for this technology and still do. I'm going to share my vision for 2019 using the lessons learned from 2018, then demonstrate some businesses who've provided real value to people using this technology. Enjoy!
Code for this video:
https://github.com/llSourcell/pyquarkchain
Please Subscribe! And Like. And...2018-12-2514 min
The Indian Startup Show#102: Siraj Raval -Director of The School of AI, Youtube personality & bestselling author.I speak to Siraj Raval the Director of The School of AI. Youtube personality and best selling author. In this episode he talks about how it all got started, Why AI? Interesting things going on in China, a look back at 2018, and plans for 2019. He talks about speaking at the United Nations, being happy, lifehacks and the one thing you should do after listening to this podcast episode. So please enjoy the show and speak to you in 2019.
Stats
Solving problems with AI e.g climate change
Teaching people.
Advice on doing your own Youtube channel.
Don't be...2018-12-2428 min
Siraj Raval5 Steps to Pass Data Science InterviewsData Science is becoming more and more popular as a career choice since it offers both lucrative salaries and the opportunity to have high impact. The Data Science interview process is challenging, but with dedicated practice you can succeed. In this video, I'll outline the 7 steps to pass any Data Science Interview. We'll go over topics like studying techniques, portfolio optimization, and interviewing tips, all of which are prominent in the modern Data Science interview pipeline. I've listed all of the resources I've mentioned both in the video description and in the associated GitHub readme. Enjoy!
Plan for this video:
...2018-12-1813 min
Siraj RavalGeometric Deep LearningGeometric Deep Learning is able to draw insights from graph data. That includes social networks, sensor networks, the entire Internet, and even 3D Objects (if we consider point cloud data to be a graph). I'll explain how it works via a demo of me using a graph convolutional network to classify people by their interest in sports teams as well as a 3D object classification demo. At its core, it comes down to being able to learn from non-Euclidean data. Euclid's laws help define certain types of data, so I'll cover some geometry background as well. Enjoy!
Code for this...2018-12-1210 min
Siraj RavalPrivacy in Data ScienceLearning the tools that preserve user privacy is going to become an increasingly important skillset for all aspiring data scientists to learn in the coming months. Legal frameworks like GDPR are being proposed all around the world as people realize how valuable their data is, so data scientists need to accept that they'll have to handle data differently than in the past. In this video, I'll demo 3 important privacy techniques; differential privacy, secure multi party computation, and federated learning. We'll use these techniques to train a mode built with Python l to predict diabetes while keep user data anonymous. Enjoy!
...2018-12-1010 min
Siraj RavalSchool of AI CampusesWe are School of AI! Our mission is to offer a world-class AI education to anyone on Earth for free. Our doors are open to all those who wish to learn. We are a learning community that spans almost every country dedicated to teaching our students how to make a positive impact in the world using AI technology. In this video, I make a request for applications to sign-up to be a School of AI Residential Advisor. Residential Advisors provide quality co-living housing for School of AI Wizards in their respective cities. We’re looking for people who either own, le...2018-12-0806 min
Siraj RavalIBM Watson DiscoveryThis video is sponsored by IBM.
Watson Discovery is an IBM Cloud service which allows you to unlock hidden value in data to find answers, monitor trends, and surface patterns using the world’s most advanced cloud-native insight engine. Watson Discovery ships with natural language processing built-in and can even be taught to understand terms that are specific to your domain. By automating the ingestion and processing of your data in a fully managed cloud service, it removes the complexity from your workflow and allows you to spend less time wrangling your data and more time building!
Ready to get st...2018-12-0507 min
Siraj RavalBiotechnologyA Chinese scientist recently claimed to have created the first genetically modified human embryos. Using a technology called CRISPR, he made twin baby girls resistant to HIV before they were born. This opened up serious debate across the world on the implications of this technology. I'm going to take this opportunity to give an in-depth analysis of biotechnology, and and answer some really hard questions. Can we really program biology, and if so how? What are the implications of designer babies? Should humans live forever? I really put my heart into this video, I hope you find it useful and...2018-12-0417 min
Siraj RavalQuantum Computing with D-WaveD-Wave’s Leap service is the first cloud based quantum application environment that gives developers real-time access to a live quantum computer. In this video, we’ll use the Leap service to build a simple application to monitor a crop health sensor network. I've been collaborating with D-Wave on this, and this video will go over several existing use cases, detail how quantum computing uses quantum mechanics, and demo using it for a real-world application. Entanglement, superposition, tunneling, there are some crucial concepts for us to understand to be able to harness quantum technology and through animations, code, and explanations I ho...2018-12-0311 min
Siraj RavalBrain Computer InterfacesI've laid out the blueprint for a brain computer interface called "The Link". This is a device that uses DNA for processing and storage, temporal interference to alter brain states, and infrared spectroscopy to read brain states. Its powered using your body heat, noninvasive, and waterproof. This device is just a thought experiment, but real companies are working on this technology today. What does this kind of technology entail for privacy? Will there be an intelligence disparity? What role does AI play in all of this? What does it even mean to be human? I tackle these hard questions and...2018-11-2713 min
Siraj RavalAI in ChinaThe Chinese state run news agency Xinhua recently revealed the first Artificial Intelligence news anchor. They're now able to generate video of a newscaster using a model trained on real newscaster data and use it to disseminate information 24/7. When I saw this, I knew it was time to start studying China's role in the AI revolution in-depth. In this video, I'll cover China's power structure, generative adversarial networks, its startup scene, Confucianism, the social credit scoring system, algorithmic policing, surveillance, privacy, autonomous weapons, and convolutional neural networks. A lot of different topics to cover, but I hope this video provides...2018-11-2012 min
Siraj RavalAI that Dresses ItselfA team of researchers at Google Brain and Georgia Tech developed an AI that learned how to dress itself using various types of clothing. They demonstrated their technology by presenting a video that shows an animated figure gracefully putting on clothing, and the most interesting part is that it learned how to do this by itself. The technique they used was called Trust Region Policy Optimization and its one of the techniques at the forefront of AI research. I'll admit that this was one of the most difficult papers I've ever read, if not the most difficult. The Differentiable Neural...2018-11-1910 min
Siraj RavalTime Series PredictionTime series is the fastest growing category of data out there! It's a series of data points indexed in time order. Often, a time series is a sequence taken at successive equally spaced points in time. In this video, I'll cover 8 different time series techniques that will help us predict the price of gold over a period of 3 years. We'll compare the results of each technique, and even consider using a learning technique. From Holts Winter Method to Vector Auto Regression to Reinforcement Learning, we've got a lot to cover here. Enjoy!
Code for this video:
https://github.com/llSourcell...2018-11-1311 min
Siraj RavalMove 37 ExplainedWhy was AlphaGo's Move 37 against Lee Sedol so significant? Why was it so important that I named my 10 week course on deep reinforcement learning on it? In this final video of my course, I'll explain what move 37 symbolized for humanity and detail 3 examples of how it will affect healthcare, design, and decision-making. We'll go through a code example of a Generative Adversarial Network and even discuss China ambitious 2030 AI initiative. Theres a lot that I cover in this video, I hope that it helps connect the dots. Enjoy!
Code for this video:
https://github.com/tensorflow/minigo
Want more education...2018-11-1211 min
Siraj RavalDrone Flight ControllerDrones are being used in real world applications around the world! They can help detect anomalies in crop yields, provide companies with physical assets a real-time continuous data stream, and help secure locations by giving teams an aerial view. We'll learn how a dron can learn to navigate a novel, complex environment using an advanced reinforcement learning technique called Deep Deterministic Policy Gradients. Its a mixture of policy gradients and actor critic, I'll go through the dependencies before explaining the real algorithm. Enjoy!
Code for this video:
https://github.com/llSourcell/Drone_Flight_Controller
Want more education? Connect with me...2018-11-0711 min
Siraj Raval7 Ways to Make Money with Machine LearningMachine Learning is an amazing technology, but how are you supposed to earn a living from it? In this video, I'll break down 7 ways that anyone can earn money from anywhere in the world using machine learning. We''ll start by taking a look at whats called the "AI Value Chain" to learn who is currently making money in machine learning so that we can better chart out where we can contribute to the space. From startups, to competitions, to writing books, we've got a lot to cover in this video. Enjoy!
Please Subscribe! And like. And comment. That's what keeps...2018-11-0513 min
Siraj RavalLearn Data Science in 3 MonthsI've created a 3 month curriculum to help you go from absolute beginner to proficient in the art of data science! This open source curriculum consists of purely free resources that I’ve compiled from across the Web and has no prerequisites, you don’t even have to have coded before. I’ve designed it for anyone who wants to improve their skills and find paid work ASAP, ether through a full-time position or contract work. You’ll be learning a host of tools like SQL, Python, Hadoop, and even data storytelling, all of which make up the complete data science pipeline...2018-10-3011 min
Siraj RavalArtificial CuriosityCuriosity is something that all humans exhibit in some way throughout their lives. Recently, a team at Berkeley published a paper on Curiosity driven learning, and they demonstrated how it helped enable their AI agent to learn how to play the popular game Super Mario Brother very efficiently with the added benefit of curiosity to help Mario explore his options. I'll explain how it works in this video using code, animations, math, and the spoken word. This technology can be used to help make our systems more intelligent, and thus our applications more capable of helping other people. Enjoy!
Code...2018-10-2910 min
Siraj RavalBoston Dynamics Atlas ExplainedBoston Dynamics released yet another incredible video of its bipedal humanoid robot, this time performing parkour by jumping on a series of boxes. In this video, i'll explain how it works at both a hardware and software level. Their real value lies in the specific type of software they are using, we don't know for sure what it is but we can take some educated guesses based on a combination of whats been revealed so far and what's worked in other humanoid robots. Prepare yourselves for some mechanical engineering and control theory Wizards, enjoy!
Code for this video:
https://github...2018-10-2311 min
Siraj RavalMeta LearningMeta learning describes the concept of 'learning to learn'. What if we could have AI learn how to optimize itself? An AI could learn the optimal hyper-parameters, architecture, and even dataset! Its a really interesting topic, and in this video I'll describe some meta learning techniques and focus on one in particular; deep neuro-evolution. We'll build an image classifier using a deep neuro-evolutionary algorithm. Enjoy!
Code for this video:
https://github.com/harvitronix/neural-network-genetic-algorithm
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Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www...2018-10-2210 min
Siraj RavalSimple Blockchain in 5 MinutesA blockchain is a data structure that was first introduced by Satoshi Nakamoto in the Bitcoin protocol white paper almost a decade ago. Bitcoin's blockchain stores transaction data, but we can store any type of data in a blockchain. Ethereum, for example, enables users to store code snippets called 'smart contracts' in their blockchain. In this video, we'll build a simple blockchain in Python that uses proof-of-work consensus, just like the Bitcoin protocol does. There's a lot of misunderstanding around what the blockchain is and what it can do so I hope this demonstrates how simple it really is. Enjoy!
...2018-10-1905 min
Siraj RavalThe Anti FacebookFacebook is the worlds largest social network with over 2 billion monthly users at the time of this video. It's flagship product, the 'news feed', uses an AI algorithm to personalize the content that each user sees. This AI optimizes for a users attention, as thats what drives its ad revenue based business model. Its an incredibly powerful AI that knows users in ways no human could, synthesizing hundreds of thousands of data points from their browsing activity and web history. In the past few years, we've seen that this AI has had both positive and negative effects on society. I'm...2018-10-1711 min
Siraj RavalComputer Vision with IntelIntel released a toolkit that allows developers to build applications that emulate human vision across multiple platforms. The OpenVINO toolkit is based on convolutional neural networks (CNN) and it extends workloads across Intel hardware (including accelerators) and maximizes performance. In this video, I'll explain how OpenVINO, or Open Visual Inference and Neural Network Optimization, enables us to use convolutional neural networks for computer vision on the edge. This video was sponsored by Intel. Enjoy!
Code for this video:
https://software.intel.com/en-us/openvino-toolkit/documentation/code-samples
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Want more education...2018-10-1605 min
Siraj RavalSQL Database OptimizationWe can use deep reinforcement learning to optimize a SQL database, and in this video we'll optimize the ordering of a series of SQL queries such that it involves the minimum possible memory/computation footprint. Deep RL involves using a neural network to approximate reinforcement learning functions, like the Q (quality) function. After we frame our database as a Markov Decision Process, I'll use Python to build a Deep Q Network to optimize SQL queries. Enjoy!
Code for this video:
https://github.com/llSourcell/SQL_Database_Optimization
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Want more...2018-10-1511 min
Siraj RavalQuantum Machine Learning LIVEI'm going to use a quantum processor to help accelerate and extend a machine learning algorithm! Thanks to D-Wave's Leap software, we can access a QPU in the browser. In this live stream, I'll explain how the Leap toolkit works, what a quantum processor offers machine learning engineers, and we'll go through a few relevant examples. Get hype!
Code for this video:
https://github.com/llSourcell/quantum_machine_learning_LIVE
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Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram...2018-10-1245 min
Siraj RavalHow to Get an AI InternshipThis is a question I get asked a lot, so I've decided to make a video detailing how to get an AI internship. Internships are a great way to start a career in AI! They enable you to build a professional network and can be amazing learning experiences. I'll list a ton of resources and discuss the most helpful steps in the process including creating a study plan, finding a relevant position, building a personal brand, leveraging your existing network, and practicing for interviews. Enjoy!
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Want more education? Connect...2018-10-1111 min
Siraj Raval#RoboticManipulation ExplainedRobotics is a vast field of study, encompassing theories across multiple scientific disciplines. In this video, we'll program a robotic arm in a simulated environment to pick up an object. Along the way, we'll learn about both forward and inverse kinematics. We'll optimize our arms trajectory using calculus and observe how its angles change over time, measuring them with trigonometry. We'll code this in Python, this is an example of machine learning applied to robotic manipulation. Enjoy!
Code for this video:
https://github.com/llSourcell/Robotic_Manipulation
Please hit that subscribe button if you liked this interview! And like. And...2018-10-1010 min
Siraj RavalSchool of AI Research GrantsI'm excited to announce that School of AI is now accepting applications for our research division! We'll select 10 Fall 2018 Fellows and give them 1000 USD in Google Cloud credits each, a personal advisor, and help them submit their work to relevant academic outlets like NIPS and popular journals. Also, 2 reinforcement learning engineers (Laura Graesser and Keng Wah Loon) and I have recently published a static and dynamic version of our white paper titled "SLM Lab". This is a framework for RL research, and we hope that the dynamic version of the paper serves as an example to School of AI researchers...2018-10-0903 min
Siraj RavalDr Alan Baratz - 67 Questions with a Quantum ResearcherI ask 67 questions to Dr Alan Baratz, the Chief Product Officer of D-Wave Systems. D-Wave has built an incredible quantum computer, and invited me to Vancouver to attend a special launch event of their new Leap system, which allows any developer to use quantum computing very easily in the cloud. In this interview, Alan walks me through the D-Wave facility in Vancouver, and we even get to step inside the quantum computer room. Enjoy!
Please hit that subscribe button if you liked this interview! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
...2018-10-0807 min
Siraj Raval5 Ways to Increase ProductivityHow am I so productive? I get that question a lot, so in this video I'm going to reveal 5 techniques i use to increase my productivity. For context, I make 3-4 educational videos every week and run an 800 person international organization called School of AI. There's so much to do all the time! Something always needs to be fixed, theres always a new idea to explore, its the adventure of a lifetime. I hope you find these tips useful, this video gets somewhat personal. Enjoy!
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Want more education? Connect...2018-10-0212 min
Siraj RavalMathematics of DopamineThe human brain is wondrous in its capabilities. The rules that govern its prowess at so many tasks are becoming slightly clearer everyday. In this video, I'll highlight how 4 key reinforcement learning algorithms help explain how the human brain works, specifically through the lens of the neurotransmitter known as 'dopamine'. These algorithms have been used to help train everything from autopilot systems for airplanes, to video game bots. TD-Learning, Rescorla-Wagner, Kalman Filters, and Bayesian Learning, all in one go!
Code for this video:
https://github.com/llSourcell/Mathematics_of_Dopamine
Please Subscribe! And like. And comment. That's what keeps me...2018-10-0112 min
Siraj RavalHow to Teach AITeaching AI is the best way to learn AI. In this video, I'll cover 3 very important topics - how to design an AI curriculum, teaching IRL best practices, and how to create an educational AI youtube video. Tools that we'll use include GitHub, final cut pro, the charisma on command youtube channel, stackoverflow, reddit, and a few others. I hope you find this video useful! I created this video to both help current School of AI Deans create better learning paths for their communities, and to help all Wizards in their journey to master this field. Enjoy!
Please Subscribe! And...2018-08-2712 min
Siraj RavalLive Stream Q&A with Siraj RavalAsk me anything! In this Q&A i talk about blockchain, AI, VR, learning techniques, and a bunch of other software related topics. Next week i'll have a more quality live streaming setup, so I'll be able to use the green screen for coding. Enjoy!
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Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More learning resources:
https://deepmind.com/blog/neural-scene-representation-and-rendering/
https://deepmind.com/research/publications/neural-scene-representation-and-rendering/
https://www.teslarati.com/google-deepmind-ai-neural-scene-representation/
https...2018-06-2933 min
AI Today PodcastAI Today Podcast #32: Interview with Siraj Raval – School of AI, YouTube CelebUnderstanding Artificial Intelligence (AI) and all its various details including Machine Learning (ML) and Deep Learning is not easy. So it’s always a great delight when someone like Siraj Raval can explain these concepts and work through them in a practical way on his YouTube channel, and his new School of AI. In this podcast, we talk about the importance of data for AI, his thoughts on the future of AI, the connection between AI and blockchain, China’s adoption of AI, and the role of ML and other concepts within the larger strategy of AI.Cont...2018-04-1122 min
Siraj RavalHow to Overcome FailureEveryone fails. In this video, i'll recount 5 times in my life where I failed and talk about how I recovered. Whether it be in work life, school life, or personal life, failure is just a reality of life. Its how you deal with it that defines your future. If you're wondering, I recorded this is Lisbon Portugal since I was invited to speak at a Data Science meetup about blockchain AI. I took this is my airbnb when i had some free time.
Hammad's Winning Code:
https://github.com/hammadshaikhha/Math-of-Machine-Learning-Course-by-Siraj/blob/master/Binary%20Logistic%20Regression/Binary%20Logistic%20Regression.ipynb
...2018-03-2409 min
Sin HumoMachine Learning# Invitado: Federico Baylé
- Emprendimiento imagenes satelitales: http://dymaxionlabs.com/
- El mapa de las villas/asentamientos: http://dymaxionlabs.com/potencialesvya/
- Escuela data science, dónde da clases: http://eant.tech/escuela-de-ciencias-de-datos
- Su maestría UBA: http://datamining.dc.uba.ar/datamining/
- Su cuenta de twitter: https://twitter.com/federicobayle
# foto con boudou
https://twitter.com/fernandezpablo/status/926450557266661376
# rant de crosa sobre IA/ML
https://medium.com/@alejandrocrosa/dejen-de-vender-humo-diciendo-inteligencia-artificial-61ba0eb50b46
# distintos tipos de redes neuronales
http://www.asimovinstitute.org/neural-network-zoo/
# the botanic app
http://botanicapp.com/
# CoreML
https://developer.apple.com/documentation/coreml
# tensorflow, scikit-learn, kre...2017-11-031h 01
Siraj RavalSiraj Wants to Interview Elon MuskHelp me Interview Elon Musk! Retweet this link:
https://twitter.com/sirajraval/status/920731168865169409
If you don't have twitter, share the link on your favorite social media platform asking other people to Retweet.
Let's make it happen! 67 Questions featuring Elon Musk at SpaceX Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/2017-10-1900 min
Siraj RavalEthereum ExplainedLet's build a decentralized ticket service using Ethereum! Ethereum is the 2nd biggest cryptocurrency in market cap behind Bitcoin and offers a Turing-complete blockchain. Using Ethereum + IPFS, developers can build powerful decentralized applications, and this offers novelty in a somewhat saturated market for app developers. Let's get started!
Code for this video:
https://github.com/llSourcell/ethereum_demo
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Follow Siraj on
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
More learning resources;
https://www.youtube.com/watch?v=8jI1TuEaTro
https://ethereum.org/greeter
https://dappsforbeginners...2017-10-1722 min
Siraj RavalReally Quick Questions with Siraj RavalI crowdsourced questions on Twitter, and picked 67 of them for an interview with myself! I had my friend Daniel Rigberg ask the questions and film me.
Please Subscribe! And like. And Comment. That's what keeps me going.
Resources I've mentioned:
Deep Learning Book:
http://www.deeplearningbook.org/
My playlists/courses:
https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A/playlists
Cormac McCarthy's Book:
https://www.amazon.com/Road-Cormac-McCarthy/dp/0307387895
Udacity Nanodegree:
https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101
Andrew Ng's Course:
https://www.coursera.org/specializations/deep-learning?siteID=SAyYsTvLiGQ-ZwaOIEdDzM4pwFY43MoUFQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign...2017-08-2716 min
Siraj RavalGenerative Models - The Math of Intelligence #8Generative Models are insanely cool! They help create never before seen data. We'll go over the mathematical difference between discriminative and generative models, talk about a few types, then dive into a basic one called Latent Dirichlet Allocation to generate a set of topics for some news articles.
Code for this video:
https://github.com/llSourcell/Latent_Dirichlet_Allocation
Hammad's Winning Code:
https://github.com/hammadshaikhha/Math-of-Machine-Learning-Course-by-Siraj/tree/master/Bayesian%20Linear%20Regression
Noah's Runner up code:
https://github.com/NoahLidell/math-of-intelligence/tree/master/hyperparameter_optimization
Carykh's channel:
https://www.youtube.com/user/carykh
More learning resources:
https://www.youtube.com...2017-08-0409 min
Siraj RavalHyperparameter Optimization - The Math of Intelligence #7Hyperparameters are the magic numbers of machine learning. We're going to learn how to find them in a more intelligent way than just trial-and-error. We'll go over grid search, random search, and Bayesian Optimization. I'll also cover the difference between Bayesian and Frequentist probability.
Code for this video: https://github.com/llSourcell/hyperparameter_optimization_strategies
Noah's Winning Code:
https://github.com/NoahLidell/math-of-intelligence/tree/master/probability_theory
Hammad's Runner-up Code:
https://github.com/hammadshaikhha/Math-of-Machine-Learning-Course-by-Siraj/tree/master/Naive%20Bayes%20Classifier
More learning resources:
https://www.iro.umontreal.ca/~bengioy/cifar/NCAP2014-summerschool/slides/Ryan_adams_140814_bayesopt_ncap.pdf
https://thuijskens...2017-07-2809 min
Siraj RavalProbability Theory - The Math of Intelligence #6We'll build a Spam Detector using a machine learning model called a Naive Bayes Classifier! This is our first real dip into probability theory in the series; I'll talk about the types of probability, then we'll use Bayes Theorem to help us build our classifier.
Code for this video:
https://github.com/llSourcell/naive_bayes_classifier/
Hammad's Winning Code:
https://github.com/hammadshaikhha/Math-of-Machine-Learning-Course-by-Siraj/tree/master/Principal%20Component%20Analysis
Kristian's Runner up Code:
https://github.com/kwichmann/PCA_and_autoencoders
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More Learning Resources:
http://machinelearningmastery.com/naive-bayes-tutorial-for-machine-learning/
http://blog...2017-07-2109 min
Siraj RavalSmarter [Music Video]My name is Siraj Raval. I'll teach you how to use machine learning to build literally anything you can dream up. Generating entirely new virtual worlds, self driving cars, games, music, art, predicting time series data, anything is possible. This song is a parody of the Kanye West + Daft Punk song "Stronger".
Special thanks to these people who helped me with the video:
Daniel Rigberg: http://www.danielrigberg.com/ (engineer + created the backing track)
Shriya Nevatia: https://www.linkedin.com/in/shriyanevatia (AI engineer)
Mimee Xu: https://www.facebook.com/mimee.bae (AI engineer)
Teya Ena: https://twitter.com/TeyaEna...2017-07-1601 min
Siraj RavalDimensionality Reduction - The Math of Intelligence #5Most of the datasets you'll find will have more than 3 dimensions. How are you supposed to understand visualize n-dimensional data? Enter dimensionality reduction techniques. We'll go over the the math behind the most popular such technique called Principal Component Analysis.
Code for this video:
https://github.com/llSourcell/Dimensionality_Reduction
Ong's Winning Code:
https://github.com/jrios6/Math-of-Intelligence/tree/master/4-Self-Organizing-Maps
Hammad's Runner up Code:
https://github.com/hammadshaikhha/Math-of-Machine-Learning-Course-by-Siraj/tree/master/Self%20Organizing%20Maps%20for%20Data%20Visualization
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I used a screengrab from 3blue1brown's awesome videos: https://www...2017-07-1510 min
Siraj RavalNeural Networks - The Math of Intelligence #4Have you ever wondered what the math behind neural networks looks like? What gives them such incredible power? We're going to cover 4 different neural networks in this video to develop an intuition around their basic principles (2 feedforward networks, 1 recurrent network, and a self-organizing map). Prepare yourself, deep learning is coming.
Code for this video (with coding challenge):
https://github.com/llSourcell/neural_networks
Hammad's winning code:
https://github.com/hammadshaikhha/Math-of-Machine-Learning-Course-by-Siraj/tree/master/Regularization%20in%20Linear%20Regression
Ong's runner-up code:
https://github.com/jrios6/Math-of-Intelligence/tree/master/3-Regularization
More learning resources:
https://www.youtube.com/watch?v=h3l4qz76...2017-07-0711 min
Siraj RavalVectors - The Math of Intelligence #3We're going to explore why the concept of vectors is so important in machine learning. We'll talk about how they are used to represent both data and models. Get ready for some Linear Algebra!
Code for this video (with challenge):
https://github.com/llSourcell/Vectors_Linear_Algebra/tree/master
Vishnu's Winning Code:
https://github.com/Sri-Vishnu-Kumar-K/MathOfIntelligence/blob/master/second_order_optimization_newtons_method/second_order_optimization.py
Hammad's Runner-up Code:
https://github.com/hammadshaikhha/Math-of-Machine-Learning-Course-by-Siraj/blob/master/Newtons%20Method.ipynb
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More learning resources:
http://mathworld.wolfram.com/VectorNorm...2017-06-3010 min
Siraj RavalHow to Generate Images - Intro to Deep Learning #14We're going to build a variational autoencoder capable of generating novel images after being trained on a collection of images. We'll be using handwritten digit images as training data. Then we'll both generate new digits and plot out the learned embeddings. And I introduce Bayesian theory for the first time in this series :)
Code for this video:
https://github.com/llSourcell/how_to_generate_images
Mike's Winning Code:
https://github.com/xkortex/how_to_win_slot_machines/blob/master/WallStBandits.ipynb
SG's Runner up Code:
https://github.com/esha-sg/Intro-DeepLearning-Siraj-Week13
Please subscribe! And like. And comment. That's what keeps me...2017-04-1508 min
Siraj RavalHow to Win Slot Machines - Intro to Deep Learning #13We'll learn how to solve the multi-armed bandit problem (maximizing success for a given slot machine) using a reinforcement learning technique called policy gradients.
Code for this video:
https://github.com/llSourcell/how_to_win_slot_machines
Mike's winning code:
https://github.com/xkortex/Siraj_Chatbot_Challenge
Vishal's runner up code:
https://github.com/erilyth/DeepLearning-Challenges/tree/master/Text_Based_Chatbot
this coding challenge was really close, so i'm also going to put code for 3rd place just this time (Eibriel):
https://github.com/Eibriel/ice-cream-truck
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More Learning resources:
...2017-04-0809 min
The Lavendaire Lifestyle26: Data Scientist & YouTuber Siraj Raval | Believe You’re Awesome, Even When Nobody Else DoesIt was such a pleasure to have my friend Siraj Raval come on The Lavendaire Lifestyle. Siraj Raval is a data scientist, best-selling author, and YouTube star who's on a warpath to inspire and educate developers to build artificial intelligence. Siraj will inspire you to go after your dreams, even when no one else believes ... Read more
The post 26: Data Scientist & YouTuber Siraj Raval | Believe You’re Awesome, Even When Nobody Else Does appeared first on Lavendaire.2017-03-1227 min
The Art Of ProgrammingВыпуск №131 — The Art Of Programming [ Drinking ] Необходимое и достаточноеНеобходимое и достаточное
Software Engineering at Google // http://bit.ly/TAOP131g
Siraj Raval's Deep Learning // http://bit.ly/TAOP131dl
Daniel Higginbotham — Clojure for the Brave and True: Learn the Ultimate Language and Become a Better Programmer // http://bit.ly/TAOP131cl
Б. Алан Уоллис — Революция внимания. Пробуждение силы сосредоточенного ума // http://bit.ly/TAOP131book
Благодарности патронам: Sergey Kiselev, Sergii Zhuk, Aleksandr Kiriushin, Nikolay Ushmodin, Pavel Drobushevich, Pavel Sitnikov, Bogdan Storozhuk, B7W, Лагуновский Иван, Sergey Vinyarsky, Yakov Krainov, Sergey Petrov
Поддержи подкаст http://bit.ly/TAOPpatron
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Старые выпуски http://bit.ly/oldtaop2017-02-2856 min
Siraj RavalHow to Do Mathematics Easily - Intro to Deep Learning #4Let's learn about some key math concepts behind deep learning shall we? We'll build a 3 layer neural network and dive into some key concepts that makes deep learning give us such incredible results.
Coding challenge for this video:
https://github.com/llSourcell/how_to_do_math_for_deep_learning
Jovian's Winning Code:
https://github.com/jovianlin/siraj-intro-to-DL-03/blob/master/Siraj%2003%20Challenge.ipynb
Vishal's Runner up Code:
https://github.com/erilyth/DeepLearning-SirajologyChallenges/tree/master/Sentiment_Analysis
Linear Algebra cheatsheet:
http://www.souravsengupta.com/cds2016/lectures/Savov_Notes.pdf
Calculus cheatsheet:
http://tutorial.math.lamar.edu/pdf/Calculus_Cheat_Sheet_All.pdf
...2017-02-0309 min
Siraj RavalEnter Siraj [Music Video]I'm Siraj and I teach people how to build cool things with code. I make videos that teach you how to create games, chatbots, self driving cars, programs that create art & music, neural networks, and way more. This song is a parody of Eminem's Not Afraid. Hope you guys like it!
Special thanks to these 3 Youtubers. They're featured at the end of my video:
How to ADHD: https://www.youtube.com/c/howtoadhd
Photos in Color: https://www.youtube.com/user/photosincolor
This Guy Edits: https://www.youtube.com/user/svenpape
Join the Wizards Slack Channel:
https://wizards.herokuapp.com/
...2016-11-1901 min
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Siraj Raval - How to Build Confidence as an ML Developer - TWiML Talk #2Siraj Raval is a machine learning hacker and teacher whose machine learning for hackers and fresh machine learning youtube series are fun, informative, high energy and practical ways to learn about a ton of machine learning and AI topics. I had a chance to catch up with Siraj in San Francisco recently, and we had a great discussion. Siraj has great advice on how to learn machine learning and build confidence as a machine learning developer, how to research and formulate projects, who to follow on Machine Learning twitter, and much more. The notes for this show can be found...2016-08-2140 min