Machine Learning Resources
Literature
Statistics
The Elements of Statistical Learning: Data Mining, Inference and Prediction
When Did Bayesian Inference Become Bayesian?
Probability Theory: The Logic of Science by E.T. Jaynes
Deep Learning (Neural Networks)
Deep Learning Book (HTML) (PDF)
A practical guide to Deep Learning in 6 months
A Beginner’s Guide To Understanding Convolutional Neural Networks (Pt. 1)
Author of The Hundred-Page Machine Learning Book Reddit AMA
CMS Machine Learning Hands-on Advanced Tutorials (HATS) 2019
Reinforcement Learning
Demystifying Deep Reinforcement Learning
Tutorials
Linear Regression
Sadia’s Tutorial (7/3/19) Linear Regression Tutorial: Github area Real world example Slides
Linear Modeling Tools Jupyter Notebook Github area
Introduction to Linear Regression
Deep Learning
3Blue1Brown: But What is a Neural Network?
Google Machine Learning Crash Course
Google Colab (GPU capabilities)
Building a simple Generative Adversarial Network (GAN) using Tensorflow (Depreciated)
Generative Adversarial Network (GAN) using Keras (more recent)
Keras Convolutional Neural Network Data Augmentation
Reinforcement Learning
Physics control tasks with Deep Reinforcement Learning