All about machine learning
Every Saturday, you will have a choice between staying at home and reading research papers/implementing algorithms, vs. watching TV. If you spend all Saturday working, there probably won't be any short-term reward, and your current boss won't even know or say "nice work." Also, after that Saturday of hard work, you're not actually that much better at machine learning. But here's the secret: If you do this not just for one weekend, but instead study consistently for a year, then you will become very good.
by Andrew NG
Course on Information Theory, Pattern Recognition, and Neural Networks
Introduction to Neural Networks笔记
TensorFlow Examples: TensorFlow tutorials and code examples for beginners
AIToolbox: A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Swift AI: Swift AI includes a set of common tools used for machine learning and artificial intelligence research. These tools are designed to be flexible, powerful and suitable for a wide range of applications.
aima-python:Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Bring Magic To Your Mobile App With Deep Learning
Machine Learning for Dummies: Part 1
CS 20SI: Tensorflow for Deep Learning Research
How to Start Learning Deep Learning
Machine-Learning-Tutorials: This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources. Other awesome lists can be found in this list.
cs231n: Convolutional Neural Networks for Visual Recognition
Intro to Artificial Intelligence udacity
Artificial Intelligence for Robotics udacity
Artificial Intellegence UC Berkeley cs188 2014