Table of Contents
This page will contain links to helpful on-line material.
Jobs in Machine Learning
Distill, useful explanations of machine learning concepts.
Exponential View Newsletter has cool visualizations of data related to many current and future issues, such as environment and energy.
An AI speed test shows clever coders can still beat tech giants like Google and Intel, by James Vincent, May 7, 2018
AAAI AI Alerts, newsletter on recent AI news
3Blue1Brown great youtube videos on neural networks.
Pandas Cheat Sheet, very handy two pager.
Neural Networks Tutorial (excellent introduction to neural nets with python and numpy)
Machine Learning with Numpy (very thorough set of jupyter notebooks as tutorials to numpy, pandas, neural networks, and other topics)
Visualizations in Python
PyVis A nice overview of visualization packages available in python.
Mathematics for Machine Learning, by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong.
Use of GPU
JAX installation with Nvidia CUDA and cudNN support help with fixing most common installation errors. Might help with pytorch and tensorflow also.