Subsets of Machine Learning Cookbook
Introduction
Bayesian Learning
Gaussian Processes
GPy Tutorial
Coregionalized Regression with GPy
GP Implementation from Scratch
[R Language]
JAGS with R tutorial
Reinforcement Learning
Reinforcement Learning, an Introduction, Ch3
Deep Learning
TensorFlow Related
Debugging
Lua/Torch Related
Lua Supervised Learning
Understanding Neural Net Module with Lua
Slicing in Lua/Torch
Theano Related
Theano Tutorial
Theano for Deep Learning, Getting Started
Theano Classifying MNIST using Logistic Regression
Theano, Keras for Sequence to Sequence Learning
Theano, Lasagne Tutorial
Book: Neural Networks and Deep Learning
[General]
MLP, ML Algorithmic Perspective
[Python Tools for Learning]
Hyperopt with Sklearn
Neon with Spearmint
[Data Manipulation]
Simple Getting and Working with Data
[Test-Driven Machine Learning]
Introduction to TDD, Chapter 1
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Reinforcement Learning
Reinforcement Learning
Focusing on Deep Q-network approaches for now.
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