This video will get you up and running with your first ML app in just 7 lines of Python. The app will be able to recognize Iris flowers.
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
Follow the install instructions for TensorFlow here:
https://www.tensorflow.org/versions/r0.8/get_started/os_setup.html#pip-installation
Follow the install instructions for SciKit Learn here:
http://scikit-learn.org/stable/install.html
And here is a link to the repo for Skflow (the scikit interface for TensorFlow):
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/learn/python/learn
My code sample is in the README of that repo under "Linear Classifier".
Map of Machine Learning Models:
http://www.wangbo.info/img/mlmindmap.png
Map to pick the right model from SciKit Learn (although this doesn't take into account deep neural nets [just think -- lots of data? Just go with the DNN]):
http://1.bp.blogspot.com/-ME24ePzpzIM/UQLWTwurfXI/AAAAAAAAANw/W3EETIroA80/s1600/drop_shadows_background.png
This is the first in my new application-focused machine learning series. The goal is to avoid anything math-heavy and focus on building things with machine learning libraries.
I recently created a Patreon page. If you like my videos, feel free to help support my effort here!:
https://www.patreon.com/user?ty=h&u=3191693
Much more to come so please subscribe, like, and comment. That stuff is what encourages me to continue!
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