Your First ML App - Machine Learning for Hackers #1

Siraj Raval demonstrates how to build a simple flower-recognizing machine learning application using Python, TensorFlow, and scikit-learn.

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: wizards.herokuapp.com/ Follow the install instructions for TensorFlow here: tensorflow.org/versions/r0.8/get_started/os_setup.html#pip-i… Follow the install instructions for SciKit Learn here: scikit-learn.org/stable/install.html And here is a link to the repo for Skflow (the scikit interface for TensorFlow): github.com/tensorflow/tensorflow/tree/master/tensorflow/cont… My code sample is in the README of that repo under "Linear Classifier". Map of Machine Learning Models: 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]): 1.bp.blogspot.com/-ME24ePzpzIM/UQLWTwurfXI/AAAAAAAAANw/W3EET… 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!: 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: twitter.com/sirajraval Facebook: facebook.com/sirajology Instagram: instagram.com/sirajraval/ Instagram: instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): wagergpt.xyz