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Global Missional AISeason 1 Episode 1 - Global Missional AI Podcast - Daniel Whitenack🎙️ AI Agents vs Workflows: The Future of "Vibe Coding" with Daniel WhitenackIn this inaugural episode of the Missional AI Podcast, we sit down with Daniel Whitenack, CEO of Prediction Guard and co-host of the Practical AI Podcast, to explore the cutting edge of AI development and its applications in ministry and Bible translation.🔥 What You'll Learn:-The key difference between AI agents and automated workflows-How "vibe coding" is revolutionizing software development-Why Model Context Protocol (MCP) is becoming the "USB-C for AI tools"-Practical strategies for choosing AI models in a rapidly...
2025-06-0428 min
Practical AIDeep-dive into DeepSeekThere is crazy hype and a lot of confusion related to DeepSeek’s latest model DeepSeek R1. The products provided by DeepSeek (their version of a ChatGPT-like app) has exploded in popularity. However, ties to China have raised privacy and geopolitical concerns. In this episode, Chris and Daniel cut through the hype to talk about the model, privacy implications, running DeepSeek models securely, and what this signals for open models in 2025.Sponsors:Notion – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a worksp...
2025-01-3150 min
Changelog Master FeedDeep-dive into DeepSeek (Practical AI #302)There is crazy hype and a lot of confusion related to DeepSeek’s latest model DeepSeek R1. The products provided by DeepSeek (their version of a ChatGPT-like app) has exploded in popularity. However, ties to China have raised privacy and geopolitical concerns. In this episode, Chris and Daniel cut through the hype to talk about the model, privacy implications, running DeepSeek models securely, and what this signals for open models in 2025.
Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Notion – Noti...
2025-01-3150 minChangelog Master FeedApple Intelligence & Advanced RAG (Practical AI #275)Daniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent Apple Intelligence announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical & productive.
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2024-06-2545 minPractical AIApple Intelligence & Advanced RAGDaniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent Apple Intelligence announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical & productive.Join the discussionChangelog++ members save 6 minutes on this episode because they made the ads disappear. Join today!Sponsors:Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simp...
2024-06-2545 minChangelog Master FeedFirst impressions of GPT-4o (Practical AI #270)Daniel & Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities.
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2024-05-2243 minPractical AIFirst impressions of GPT-4oDaniel & Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:Ladder Life Insurance – 100% digital — no doctors, no needles, no paperwork. Don’t put it off until the very last minute to get term coverage life insur...
2024-05-2243 minChangelog Master FeedLeading the charge on AI in National Security (Practical AI #257)Chris & Daniel explore AI in national security with Lt. General Jack Shanahan (USAF, Ret.). The conversation reflects Jack’s unique background as the only senior U.S. military officer responsible for standing up and leading two organizations in the United States Department of Defense (DoD) dedicated to fielding artificial intelligence capabilities: Project Maven and the DoD Joint AI Center (JAIC).
Together, Jack, Daniel & Chris dive into the fascinating details of Jack’s recent written testimony to the U.S. Senate’s AI Insight Forum on National Security, in which he provides the U.S. government with thoughtful guidan...
2024-02-2052 minPractical AILeading the charge on AI in National SecurityChris & Daniel explore AI in national security with Lt. General Jack Shanahan (USAF, Ret.). The conversation reflects Jack’s unique background as the only senior U.S. military officer responsible for standing up and leading two organizations in the United States Department of Defense (DoD) dedicated to fielding artificial intelligence capabilities: Project Maven and the DoD Joint AI Center (JAIC).Together, Jack, Daniel & Chris dive into the fascinating details of Jack’s recent written testimony to the U.S. Senate’s AI Insight Forum on National Security, in which he provides the U.S. government with thoughtful guidan...
2024-02-2052 minChangelog Master FeedGenerative models: exploration to deployment (Practical AI #240)What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.
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2023-10-0349 minChangelog Master FeedAutomate all the UIs! (Practical AI #239)Dominik Klotz from askui joins Daniel and Chris to discuss the automation of UI, and how AI empowers them to automate any use case on any operating system. Along the way, the trio explore various approaches and the integration of generative AI, large language models, and computer vision.
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2023-09-2043 minChangelog Master FeedAI trends: a Latent Space crossover (Practical AI #227)Daniel had the chance to sit down with @swyx and Alessio from the Latent Space pod in SF to talk about current AI trends and to highlight some key learnings from past episodes. The discussion covers open access LLMs, smol models, model controls, prompt engineering, and LLMOps. This mashup is magical. Don’t miss it!
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2023-06-1459 minChangelog Master FeedThe practicalities of releasing models (Practical AI #199)Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!
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Featuring
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website
Notes and Links
Daniel’s team license from recent work
G...
2022-11-0137 minPractical AIThe practicalities of releasing modelsRecently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:Daniel’s team license from recent workGraph Neural Network courses from Zak Jo...
2022-11-0137 minChangelog Master FeedThe geopolitics of artificial intelligence (Practical AI #186)In this Fully-Connected episode, Chris and Daniel explore the geopolitics, economics, and power-brokering of artificial intelligence. What does control of AI mean for nations, corporations, and universities? What does control or access to AI mean for conflict and autonomy? The world is changing rapidly, and the rate of change is accelerating. Daniel and Chris look behind the curtain in the halls of power.
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Chris Benson – Twitter, GitHub, LinkedIn, Website
Da...
2022-07-2646 minPractical AIThe geopolitics of artificial intelligenceIn this Fully-Connected episode, Chris and Daniel explore the geopolitics, economics, and power-brokering of artificial intelligence. What does control of AI mean for nations, corporations, and universities? What does control or access to AI mean for conflict and autonomy? The world is changing rapidly, and the rate of change is accelerating. Daniel and Chris look behind the curtain in the halls of power.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitH...
2022-07-2646 min
Ardan Labs PodcastEthical AI, Endangered Languages, & NLP with Daniel WhitenackDaniel Whitenack is a co-host of the Practical AI podcast and a data scientist with SIL International. In one of our more technical episodes, we hear about Daniel’s journey from computational physics in college to using artificial intelligence for language processing. Tune in for a conversation on ethical AI, endangered languages, real-time translation, and more!Connect with Daniel:Twitter: https://twitter.com/dwhitenaWebsite: https://datadan.io/ Email: dan_whitenack@sil.orgPractical AI podcast: https://changelog.com/practicalai Gopher Slack Channel: https://invite.slack.golangbridge.org/ M...
2022-07-061h 32Practical AIOpenAI and Hugging Face toolingThe time has come! OpenAI’s API is now available with no waitlist. Chris and Daniel dig into the API and playground during this episode, and they also discuss some of the latest tool from Hugging Face (including new reinforcement learning environments). Finally, Daniel gives an update on how he is building out infrastructure for a new AI team.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipe...
2021-12-1450 minPractical AIFriendly federated learning 🌼This episode is a follow up to our recent Fully Connected show discussing federated learning. In that previous discussion, we mentioned Flower (a “friendly” federated learning framework). Well, one of the creators of Flower, Daniel Beutel, agreed to join us on the show to discuss the project (and federated learning more broadly)! The result is a really interesting and motivating discussion of ML, privacy, distributed training, and open source AI.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data p...
2021-12-0746 minPractical AIZero-shot multitask learningIn this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. Daniel provides a brief tour of the possible with the T0 family. They finish up with a couple of new learning resources.Join the discussionChangelog++ members save 5 minutes on this episode because they made...
2021-11-2446 minPractical AIStellar inference speed via AutoNASYonatan Geifman of Deci makes Daniel and Chris buckle up, and takes them on a tour of the ideas behind his amazing new inference platform. It enables AI developers to build, optimize, and deploy blazing-fast deep learning models on any hardware. Don’t blink or you’ll miss it!Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segmen...
2021-09-0742 minPractical AIExploring a new AI lexiconWe’re back with another Fully Connected episode – Daniel and Chris dive into a series of articles called ‘A New AI Lexicon’ that collectively explore alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI. The fun begins early as they discuss and debate ‘An Electric Brain’ with strong opinions, and consider viewpoints that aren’t always popular.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:RudderStack – Smart customer data pipeline made for developers. RudderStack is t...
2021-08-2444 minPractical AIBuilding a data teamInspired by a recent article from Erik Bernhardsson titled “Building a data team at a mid-stage startup: a short story”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like centralized data management, prototype development, and a focus on engineering skills.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:PSSC Labs – Solutions from PSSC Labs provide a cost effect...
2021-07-2745 minPractical AIFrom symbols to AI pair programmers 💻How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning).Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:PSSC Labs – Solutions from PSSC Labs provide a cost effective, highly secure, and perfor...
2021-07-1348 minPractical AILearning to learn deep learning 📖Chris and Daniel sit down to chat about some exciting new AI developments including wav2vec-u (an unsupervised speech recognition model) and meta-learning (a new book about “How To Learn Deep Learning And Thrive In The Digital World”). Along the way they discuss engineering skills for AI developers and strategies for launching AI initiatives in established companies.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your bro...
2021-06-0843 minPractical AIThe fastest way to build ML-powered appsTuhin Srivastava tells Daniel and Chris why BaseTen is the application development toolkit for data scientists. BaseTen’s goal is to make it simple to serve machine learning models, write custom business logic around them, and expose those through API endpoints without configuring any infrastructure.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at...
2021-06-0243 minPractical AIElixir meets machine learningToday we’re sharing a special crossover episode from The Changelog podcast here on Practical AI. Recently, Daniel Whitenack joined Jerod Santo to talk with José Valim, Elixir creator, about Numerical Elixir. This is José’s newest project that’s bringing Elixir into the world of machine learning. They discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook that’s built on Phoenix LiveView.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads...
2021-05-261h 01
The Changelog: Software Development, Open SourceElixir meets machine learning (Interview)This week Elixir creator José Valim joins Jerod and Practical AI’s Daniel Whitenack to discuss Numerical Elixir, his new project that’s bringing Elixir into the world of machine learning. We discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook project that’s built on Phoenix LiveView.
Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:InfluxData – InfluxDays EMEA 2021 Virtual Experience (May 18-19) — Influ...
2021-05-071h 02Changelog InterviewsElixir meets machine learningThis week Elixir creator José Valim joins Jerod and Practical AI’s Daniel Whitenack to discuss Numerical Elixir, his new project that’s bringing Elixir into the world of machine learning. We discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook project that’s built on Phoenix LiveView.
Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:InfluxData – InfluxDays EMEA 2021 Virtual Experience (May 18-19) — Influ...
2021-05-071h 02Practical AIMapping the worldRo Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the maps that move the world, from HD maps for automated driving to consumer maps for human navigation.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreilly.com/changelogRudderStack – Smart customer data pipeline made for develope...
2021-04-2753 minPractical AIData science for intuitive user experiencesNhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operations and economic conditions. They delve into topics ranging from predictive forecasting to aid small businesses, to learning about the economic fallout from the COVID-19 Pandemic.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at oreill...
2021-04-2052 minPractical AIGoing full bore with Graphcore!Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ‘under the hood’ knowledge, then this is the episode for you.Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker...
2021-04-1344 minPractical AINext-gen voice assistantsNikola Mrkšić, CEO & Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversational AI, describing the underlying technologies, and teaching them about the next generation of voice assistants that will be capable of handling true human-level conversations. It’s an episode you’ll be talking about for a long time!Join the discussionChangelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!Sponsors:O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. L...
2021-04-0650 minPractical AILow code, no code, accelerated code, & failing codeIn this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!Join the discussionChangelog++ members get a bonus 3 minutes at the end of this episode and zero ads. Join today!Sponsors:Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a de...
2021-02-2348 minPractical AIThe nose knowsDaniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode!Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:Knowable – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. Click here to check it out and use...
2021-01-2654 minPractical AIEngaging with governments on AI for goodAt this year’s Government & Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being republished in this episode for all our listeners to enjoy!The panelists were Danya Murali from Arcadia Power and Emily Martinez from the NYC Department of Health and Mental Hygiene. Danya and Emily gave some great perspectives on sources of government data, ethical uses of data, and privacy.Join the discussionChangelog++ members support our work, ge...
2020-12-1425 minPractical AIFrom research to product at Azure AIBharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s research-to-product process, along with the advances they have made in computer vision, image captioning, and how researchers were able to make AI that can describe images as well as people do.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join to...
2020-12-0749 minPractical AIA casual conversation concerning causal inferenceLucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Linode – Get $100 in free credit...
2020-11-2451 minPractical AIBuilding a deep learning workstationWhat’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).Join the discussionChangelog++ members get a bonus 1 minute at the end of thi...
2020-11-1749 minPractical AIWhen data leakage turns into a flood of troubleRajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it...
2020-10-2048 minPractical AIR, Data Science, & Computational BiologyWe’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.Join the discussionChangelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitiv...
2020-10-0654 minPractical AILearning about (Deep) LearningIn anticipation of the upcoming NVIDIA GPU Technology Conference (GTC), Will Ramey joins Daniel and Chris to talk about education for artificial intelligence practitioners, and specifically the role that the NVIDIA Deep Learning Institute plays in the industry. Will’s insights from long experience are shaping how we all stay on top of AI, so don’t miss this ‘must learn’ episode.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in th...
2020-09-2153 minPractical AIGetting Waymo into autonomous drivingWaymo’s mission is to make it safe and easy for people and things to get where they’re going. After describing the state of the industry, Drago Anguelov - Principal Scientist and Head of Research at Waymo - takes us on a deep dive into the world of AI-powered autonomous driving. Starting with Waymo’s approach to autonomous driving, Drago then delights Daniel and Chris with a tour of the algorithmic tools in the autonomy toolbox.Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Jo...
2020-09-011h 00Practical AIHidden Door and so much moreHilary Mason is building a new way for kids and families to create stories with AI. It’s called Hidden Door, and in her first interview since founding it, Hilary reveals to Chris and Daniel what the experience will be like for kids. It’s the first Practical AI episode in which some of the questions came from Chris’s 8yo daughter Athena.Hilary also shares her insights into various topics, like how to build data science communities during the COVID-19 Pandemic, reasons why data science goes wrong, and how to build great data-based products. Don’t miss thi...
2020-08-2456 minThe Changelog: Software Development, Open SourceCelebrating Practical AI turning 100!! 🎉 (Interview)We’re so excited to see Chris and Daniel take this show to 100 episodes, and that’s exactly why we’re rebroadcasting Practical AI #100 here on The Changelog. They’ve had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning when Jerod and I joined the first episode to help kick off the podcast. We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the future of AI might look like. (GIVEAWAY!)
Jo...
2020-08-211h 11Practical AIAttack of the C̶l̶o̶n̶e̶s̶ Text!Come hang with the bad boys of natural language processing (NLP)! Jack Morris joins Daniel and Chris to talk about TextAttack, a Python framework for adversarial attacks, data augmentation, and model training in NLP. TextAttack will improve your understanding of your NLP models, so come prepared to rumble with your own adversarial attacks!Join the discussionChangelog++ members get a bonus 2 minutes at the end of this episode and zero ads. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud se...
2020-08-0448 minPractical AIPractical AI EthicsThe multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring that unexpected outcomes from AI technology implementations occur as rarely as possible. Daniel and Chris discuss strategies for how to arrive at AI ethical principles suitable for your own organization, and what is involved in implementing those strategies in the real world. Tune in for a practical AI primer on AI Ethics!Join the discussionChangelog++ members save 2 minutes on this...
2020-07-1452 minPractical AIThe ins and outs of open source for AIDaniel and Chris get you Fully-Connected with open source software for artificial intelligence. In addition to defining what open source is, they discuss where to find open source tools and data, and how you can contribute back to the open source AI community.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the cod...
2020-07-0747 minPractical AIRoles to play in the AI dev workflowThis full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more technical engineering tasks. They also point out some good resources for exploring bias in your data/model and monitoring for fairness.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simp...
2020-06-2250 minPractical AIThe long road to AGIDaniel and Chris go beyond the current state of the art in deep learning to explore the next evolutions in artificial intelligence. From Yoshua Bengio’s NeurIPS keynote, which urges us forward towards System 2 deep learning, to DARPA’s vision of a 3rd Wave of AI, Chris and Daniel investigate the incremental steps between today’s AI and possible future manifestations of artificial general intelligence (AGI).Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it s...
2020-06-1550 minPractical AIExplaining AI explainabilityThe CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is fascinating and very timely.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Ge...
2020-06-0846 minPractical AIExploring NVIDIA's Ampere & the A100 GPUOn the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. After investigating the new specifications of the NVIDIA A100 Tensor Core GPU, Chris and Daniel turn their attention to the data center with the NVIDIA DGX A100, and then finish their journey at “the edge” with the NVIDIA EGX A100 and the NVIDIA Jetson Xavier NX.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponso...
2020-05-2653 minPractical AIAI for Good: clean water access in AfricaChandler McCann tells Daniel and Chris about how DataRobot engaged in a project to develop sustainable water solutions with the Global Water Challenge (GWC). They analyzed over 500,000 data points to predict future water point breaks. This enabled African governments to make data-driven decisions related to budgeting, preventative maintenance, and policy in order to promote and protect people’s access to safe water for drinking and washing. From this effort sprang DataRobot’s larger AI for Good initiative.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join...
2020-05-1142 min
HumAIn PodcastModern Natural Language Processing and AI during COVID-19 with Daniel Whitenack[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSDaniel Whitenack is a Ph.D. trained data scientist working with Pachyderm. Daniel develops innovative, distributed data pipelines which include predictive models, data visualizations, statistical analyses, and more. He has spoken at conferences around the world (ODSC, Spark Summit, PyCon, GopherCon, JuliaCon, and more), teaches data science/engineering with Purdue University and Ardan Labs , maintains the Go kernel for Jupyter, and is actively helping to organize contributions to various open source data science projects.Episode Links: D...
2020-05-0642 minPractical AIAsk us anything (about AI)Daniel and Chris get you Fully-Connected with AI questions from listeners and online forums:What do you think is the next big thing?What are CNNs?How does one start developing an AI-enabled business solution?What tools do you use every day?What will AI replace?And more…Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive contro...
2020-05-0450 minPractical AIReinforcement learning for chip designDaniel and Chris have a fascinating discussion with Anna Goldie and Azalia Mirhoseini from Google Brain about the use of reinforcement learning for chip floor planning - or placement - in which many new designs are generated, and then evaluated, to find an optimal component layout. Anna and Azalia also describe the use of graph convolutional neural networks in their approach.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the home of Changelog.co...
2020-04-2744 minPractical AIExploring the COVID-19 Open Research DatasetIn the midst of the COVID-19 pandemic, Daniel and Chris have a timely conversation with Lucy Lu Wang of the Allen Institute for Artificial Intelligence about COVID-19 Open Research Dataset (CORD-19). She relates how CORD-19 was created and organized, and how researchers around the world are currently using the data to answer important COVID-19 questions that will help the world through this ongoing crisis.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Linode – Our cloud of choice and the ho...
2020-04-2043 minPractical AICOVID-19 Q&A and CORD-19So many AI developers are coming up with creative, useful COVID-19 applications during this time of crisis. Among those are Timo from Deepset-AI and Tony from Intel. They are working on a question answering system for pandemic-related questions called COVID-QA. In this episode, they describe the system, related annotation of the CORD-19 data set, and ways that you can contribute!Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the...
2020-04-0654 minPractical AIMapping the intersection of AI and GISDaniel Wilson and Rob Fletcher of ESRI hang with Chris and Daniel to chat about how AI powered modern geographic information systems (GIS) and location intelligence. They illuminate the various models used for GIS, spatial analysis, remote sensing, real-time visualization, and 3D analytics. You don’t want to miss the part about their work for the DoD’s Joint AI Center in humanitarian assistance / disaster relief.Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean’s developer cloud makes it...
2020-03-3049 minPractical AIWelcome to Practical AIPractical AI is a weekly podcast that’s marking artificial intelligence practical, productive, and accessible to everyone. If world of AI affects your daily life, this show is for you.From the practitioner wanting to keep up with the latest tools & trends…(clip from episode #68)To the AI curious trying to understand the concepts at play and their implications on our lives…(clip from episode #39)Expert hosts Chris Benson and Daniel Whitenack are here to keep you fully-connected with the world of machine learning and data science.Please...
2020-03-2501 minPractical AISpeech recognition to say it just rightCatherine Breslin of Cobalt joins Daniel and Chris to do a deep dive on speech recognition. She also discusses how the technology is integrated into virtual assistants (like Alexa) and is used in other non-assistant contexts (like transcription and captioning). Along the way, she teaches us how to assemble a lexicon, acoustic model, and language model to bring speech recognition to life.
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2020-03-2349 minPractical AIBuilding a career in Data ScienceEmily Robinson, co-author of the book Build a Career in Data Science, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate.
Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position.
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2020-03-1651 min
Go Time: Golang, Software EngineeringOn the verge of new AI possibilitiesIn this episode Jaana and Mat are joined by Daniel and Miriah to dive into AI in Go. Why has python historically had a bigger foothold in the AI scene? Is machine learning in Go growing? What libraries and tools are out there for someone looking to get started with AI? And where do you start if you don’t have enough data for your own models?
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2020-03-0559 minPractical AINLP for the world's 7000+ languagesExpanding AI technology to the local languages of emerging markets presents huge challenges. Good data is scarce or non-existent. Users often have bandwidth or connectivity issues. Existing platforms target only a small number of high-resource languages.
Our own Daniel Whitenack (data scientist at SIL International) and Dan Jeffries (from Pachyderm) discuss how these and related problems will only be solved when AI technology and resources from industry are combined with linguistic expertise from those on the ground working with local language communities. They have illustrated this approach as they work on pushing voice technology into emerging markets.
2020-02-2454 minPractical AIReal-time conversational insights from phone call dataDaniel and Chris hang out with Mike McCourt from Invoca to learn about the natural language processing model architectures underlying Signal AI. Mike shares how they process conversational data, the challenges they have to overcome, and the types of insights that can be harvested.
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2020-02-1751 minPractical AIAI-powered scientific exploration and discoveryDaniel and Chris explore Semantic Scholar with Doug Raymond of the Allen Institute for Artificial Intelligence. Semantic Scholar is an AI-backed search engine that uses machine learning, natural language processing, and machine vision to surface relevant information from scientific papers.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Featuring:Douglas Raymond – GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:
Semantic Scholar
Allen Institute for Artificial Intelligence
ELMo
SciBERT: A Pretrained Langua...
2020-02-1042 minPractical AIInsights from the AI Index 2019 Annual ReportDaniel and Chris do a deep dive into The AI Index 2019 Annual Report, which provides unbiased rigorously-vetted data that one can use “to develop intuitions about the complex field of AI”. Analyzing everything from R&D and technical advancements to education, the economy, and societal considerations, Chris and Daniel lay out this comprehensive report’s key insights about artificial intelligence.
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2020-02-0344 minPractical AIHow the U.S. military thinks about AIChris and Daniel talk with Greg Allen, Chief of Strategy and Communications at the U.S. Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC). The mission of the JAIC is “to seize upon the transformative potential of artificial intelligence technology for the benefit of America’s national security… The JAIC is the official focal point of the DoD AI Strategy.” So if you want to understand how the U.S. military thinks about artificial intelligence, then this is the episode for you!
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2020-01-1348 minPractical AI2019's AI top 5Wow, 2019 was an amazing year for AI! In this fully connected episode, Chris and Daniel discuss their list of top 5 notable AI things from 2019. They also discuss the “state of AI” at the end of 2019, and they make some predictions for 2020.
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2020-01-0658 minPractical AIFlying high with AI drone racing at AlphaPilotChris and Daniel talk with Keith Lynn, AlphaPilot Program Manager at Lockheed Martin. AlphaPilot is an open innovation challenge, developing artificial intelligence for high-speed racing drones, created through a partnership between Lockheed Martin and The Drone Racing League (DRL).
AlphaPilot challenged university teams from around the world to design AI capable of flying a drone without any human intervention or navigational pre-programming. Autonomous drones will race head-to-head through complex, three-dimensional tracks in DRL’s new Artificial Intelligence Robotic Racing (AIRR) Circuit. The winning team could win up to $2 million in prizes.
Keith shares the incredible st...
2019-10-0747 minPractical AIAI in the majority world and model distillationChris and Daniel take some time to cover recent trends in AI and some noteworthy publications. In particular, they discuss the increasing AI momentum in the majority world (Africa, Asia, South and Central America and the Caribbean), and they dig into Hugging Face’s recent model distillation results.
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2019-09-3045 minPractical AIWorlds are colliding - AI and HPCIn this very special fully-connected episode of Practical AI, Daniel interviews Chris. They discuss High Performance Computing (HPC) and how it is colliding with the world of AI. Chris explains how HPC differs from cloud/on-prem infrastructure, and he highlights some of the challenges of an HPC-based AI strategy.
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2019-09-1748 minPractical AIAI-driven studies of the ancient world and good GANsChris and Daniel take the opportunity to catch up on some recent AI news. Among other things, they discuss the increasing impact of AI on studies of the ancient world and “good” uses of GANs. They also provide some more learning resources to help you level up your AI and machine learning game.
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2019-07-3054 minPractical AIGANs, RL, and transfer learning oh my!Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs), deep reinforcement learning (DRL), and transfer learning. Are these types of neural network architectures? Are they something different? How are they used? Well, If you have ever wondered how AI can be creative, wished you understood how robots get their smarts, or were impressed at how some AI practitioners conquer big challenges quickly, then this is your episode!
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2019-06-1151 minPractical AIHow to get plugged into the AI communityChris and Daniel take you on a tour of local and global AI events, and discuss how to get the most out of your experiences. From access to experts to developing new industry relationships, learn how to get your foot in the door and make connections that help you grow as an AI practitioner.
Then drawing from their own wealth of experience as speakers, they dive into what it takes to give a memorable world-class talk that your audience will love. They break down how to select the topic, write the abstract, put the presentation together, and...
2019-05-281h 02Practical AITensorFlow Dev Summit 2019This week Daniel and Chris discuss the announcements made recently at TensorFlow Dev Summit 2019. They kick it off with the alpha release of TensorFlow 2.0, which features eager execution and an improved user experience through Keras, which has been integrated into TensorFlow itself. They round out the list with TensorFlow Datasets, TensorFlow Addons, TensorFlow Extended (TFX), and the upcoming inaugural O’Reilly TensorFlow World conference.
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2019-05-0759 minPractical AINew year’s resolution: dive into deep learning!Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.
If you’re anything like us, your New Year’s resolutions probably included an AI section, so this week we explore some of the learning resources available for artificial intelligence and deep learning. Where you go with it depends upon what you want to achieve, so we discuss academic versus industry career paths, and try to set you on the Practical AI path that will help you level up.
Join the discussionChange...
2019-01-2835 minPractical AIIBM's AI for detecting neurological stateAjay Royyuru and Guillermo Cecchi from IBM Healthcare join Chris and Daniel to discuss the emerging field of computational psychiatry. They talk about how researchers at IBM are applying AI to measure mental and neurological health based on speech, and they give us their perspectives on things like bias in healthcare data, AI augmentation for doctors, and encodings of language structure.
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2019-01-2141 minPractical AI2018 in review and bold predictions for 2019Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.
This week we look back at 2018 - from the GDPR and the Cambridge Analytica scandal, to advances in natural language processing and new open source tools. Then we offer our predications for what we expect in the year ahead, touching on just about everything in the world of AI.
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2019-01-1442 min
Podcast Your DataPYD74 – Daniel Whitenack and Artificial IntelligenceIt's something that keeps us all up at night – will the robots take over tomorrow? Okay, maybe you don't worry about it. And neither does Daniel Whitenack. Daniel is a data scientist, professor, podcaster, and innovator in the space of artificial intelligence and machine learning. And today he's talking with Robert about some of the big questions in AI, including, yes, will the robots take over? (SPOILER: not any time soon). You can find Daniel at his website – https://datadan.io – his Twitter @dwhitena or on his podcast Practical AI.
2018-12-1847 minPractical AISo you have an AI model, now what?Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.
This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for inference and NVIDIA’s open sourcing of TensorRT for GPU-optimized inference. Then we talk about performing inference at the edge and in the browser with things like the recently announced ONNX JS.
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2018-12-1039 minPractical AIBERT: one NLP model to rule them allFully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.
This week we discuss BERT, a new method of pre-training language representations from Google for natural language processing (NLP) tasks. Then we tackle Facebook’s Horizon, the first open source reinforcement learning platform for large-scale products and services. We also address synthetic data, and suggest a few learning resources.
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2018-11-2738 minPractical AIAnalyzing AI's impact on society through art and filmBrett Gaylor joins Chris and Daniel to chat about the recently announced winners of Mozilla’s creative media awards, which focuses on exposing the impact of AI on society. These winners include a film that responds to the audience (via AI recognized emotions) and an interesting chatbot called Wanda.
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2018-11-1244 minPractical AIGetting into data science and AIHimani Agrawal joins Daniel and Chris to talk about how she got into data science and artificial intelligence, and offers advice to others getting into these fields. She goes on to describe the role of artificial intelligence and machine learning within AT&T and telecom in general.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your wa...
2018-11-0530 minPractical AIAIs that look human and create portraits of humansIn this new and updates show, Daniel and Chris discuss, among other things, efforts to use AI in art and efforts to make AI interfaces look human. They also discuss some learning resources related to neural nets, AI fairness, and reinforcement learning.
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2018-10-3134 minPractical AIPyTorch 1.0 vs TensorFlow 2.0Chris and Daniel are back together in another news/updates show. They discuss PyTorch v1.0, some disturbing uses of AI for tracking social credit, and learning resources to get you started with machine learning.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. Ne...
2018-10-1544 minPractical AIArtificial intelligence at NVIDIANVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving vehicles, to new AI research innovations in algorithm development and model architectures. This episode is so packed with information, you may want to listen to it multiple times.
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2018-10-0844 minPractical AIAI in healthcare, synthesizing dance moves, hardware accelerationChris and Daniel discuss new advances in AI research (including a creepy dancing video), how AI is creating opportunity for new chip startups, and uses of deep learning in healthcare. They also share some great learning resources, including one of Chris’s favorite online courses.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin...
2018-09-0320 minPractical AIOpen source tools, AI for Dota, and enterprise ML adoptionThis week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it!
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine...
2018-08-2131 minPractical AIEye tracking, Henry Kissinger on AI, VimChris and Daniel help us wade through the week’s AI news, including open ML challenges from Intel and National Geographic, Henry Kissinger’s views on AI, and a model that can detect personality based on eye movements. They also point out some useful resources to learn more about pandas, the vim editor, and AI algorithms.
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2018-08-0628 minPractical AIGovernment use of facial recognition and AI at GoogleIn this episode, Chris and Daniel discuss the latest news, including an article about Google’s AI principles, and they highlight some useful resources to help you level up.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equi...
2018-07-2318 minChangelog InterviewsPutting AI in a box at MachineBox [rebroadcast]In this special episode of The Changelog we’re sharing a full-length episode of our newly launched podcast called Practical AI — covering AI, Machine Learning, and Data Science. In this episode Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Airbrake – Airbrake is an exception reporting service, currently providing error monitoring for 50,000 applications with support for 18 programming languages.
Linode...
2018-07-1147 minThe Changelog: Software Development, Open SourcePutting AI in a box at MachineBox [rebroadcast] (Interview)In this special episode of The Changelog we’re sharing a full-length episode of our newly launched podcast called Practical AI — covering AI, Machine Learning, and Data Science. In this episode Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Airbrake – Airbrake is an exception reporting service, currently providing error monitoring for 50,000 applications with support for 18 programming languages.
Linode...
2018-07-1147 minPractical AIData management, regulation, the future of AIMatthew Carroll and Andrew Burt of Immuta talked with Daniel and Chris about data management for AI, how data regulation will impact AI, and schooled them on the finer points of the General Data Protection Regulation (GDPR).
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies se...
2018-07-0948 minPractical AIHelping African farmers with TensorFlowAmanda Ramcharan, Latifa Mrisho, and Peter McCloskey joined Daniel and Chris to talk about how Penn State University are collaborating to help African farmers increase their yields via a TensorFlow powered mobile app.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with sa...
2018-07-0242 minPractical AIPutting AI in a box at MachineBoxMat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of th...
2018-07-0245 minPractical AIMeet your Practical AI hostsIn this inaugural episode of Practical AI — Adam Stacoviak and Jerod Santo sit down with Daniel Whitenack and Chris Benson to discuss their experiences in Artificial Intelligence, Machine Learning, and Data Science and what they hope to accomplish as hosts of this podcast.
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Hired – Salary and benefits upfront? Yes please. Our listeners get a double hiring bonus of $600! Or, refer a friend and get a check for $1,337 when they acce...
2018-07-0235 min
Machine Learning Archives - Software Engineering DailyGo Data Science with Daniel Whitenack
Data science is typically done by engineers writing code in Python, R, or another scripting language. Lots of engineers know these languages, and their ecosystems have great library support. But these languages have some issues around deployment, reproducibility, and other areas. The programming language Golang presents an appealing alternative for data scientists.
Daniel Whitenack transitioned from doing most of his data science work in Python to writing code in Golang. In this episode, Daniel explains the workflow of a data scientist and discusses why Go is useful. We also talk about the blurry line between...
2017-02-0956 min
Data Engineering PodcastPachyderm with Daniel Whitenack - Episode 1Summary
Do you wish that you could track the changes in your data the same way that you track the changes in your code? Pachyderm is a platform for building a data lake with a versioned file system. It also lets you use whatever languages you want to run your analysis with its container based task graph. This week Daniel Whitenack shares the story of how the project got started, how it works under the covers, and how you can get started using it today!
Preamble
Hello and welcome to the Data Engineering Podcast...
2017-01-1444 min