CrashCourseMachineLearning.md

Crash Course Machine Learning Syllabus

• If you already have a strong science, math and programming background you can teach yourself machine learning in a relatively short time.
• These are the best resources I've found so far for learning machine learning.

Basic Data Science, much of the math and deep learning is based on this stuff<

• Run through the Kaggle tutorial and try solving the Titanic problem using Python with SciKitLearn

• Introduction to Statistical Learning

• Elements of Statistical Learning

• Anaconda Python and all the ML libraries you'll need to get started

Neural Networks and Deep Learning

• Deep Learning using Theano, walks you through building a deep neural network to solve the MNIST problem.

• Deep Learning Tutorial from Lisa Labs ( what the Deep Learning with Theano is based on, more of a focus on Theano and less on the networks and math )

• Deep Learning Book

Recurrent Networks

• WildML Recurrent Neural Networks tutorial

Reinforcement Networks

• Very nice 9 part series in TF

• Deep Reinforcement Learning in 132 lines of Python

• Walk through Sutton's book: Code, links to textbook, videos, papers

• Reinforcement Learning, Sutton (textbook)

TensorFlow

• TensorFlow and deep learning without a PhD

• Machine Learning with TensorFlow ( book ) $

• TensorFlow ( Instructions, examples, documentation )

Papers with source code

• GitXiv

Papers, all the new important papers are here

• Arxiv

Help

• StackOverFlow

• CrossValidated

News, tools, data, help

• KD Nuggets

• Medium Long reads on all sorts of topics, including ML, robotics and AI

Misc

• Field Guide to Data Science ( read past the first few pages, it gets better as it progresses )

• Beating Kaggle the Easy Way ( lots of good beginner's tips and tricks )

• The Neural Network Zoo

• Tips for training deep networks

• Theano, a short practical guide

• Computer vision for dummies

• A Kaggle Master Explains Gradient Boosting

Videos

• Google's Deep Learning Summer School 2016 day 1 lectures, ( long empty intro skip ahead a bit )

• Google's Deep Learning Summer School 2016 day 2

• Tutorial, Reinforcement Learning with Sutton

Classics that still hold true

• More is Different

• The Mathematical Theory of Communication

• Let's Take the Con Out of Economics