EPISODE · May 2, 2016 · 4 MIN
Your First ML App - Machine Learning for Hackers #1
from Siraj Raval
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! Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
What this episode covers
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! Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
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Your First ML App - Machine Learning for Hackers #1
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