Monthly Archives: July 2017

Artificial Intelligence and Machine Learning Resources for Developers (or anyone “technical”)

Artificial Intelligence is the single most important endeavor ever under taken by humanity. If you care to learn the technical side of this venture, I’ve put together a short-and-growing list of resources to look at for introductory learning and exploration purposes.

Please enjoy and suggest additions.

Artificial Intelligence (MIT 6.034)

from the course description:

“introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems”

Deep Learning for Self-Driving Cars

MIT 6.S094

from the intro:

“an introduction to the practice of deep learning through the applied theme of building a self-driving car. It is open to beginners and is designed for those who are new to machine learning, but it can also benefit advanced researchers in the field looking for a practical overview of deep learning methods and their application.”

Develop Your First Neural Network in Python With Keras Step-By-Step

Introduction to Neural Networks on the high-level ML platform Keras.


trying to make AI less “exclusive”. Practical courses and tutorials. Cool branding.


from the about page:

“GitXiv is a space to share collaborative open computer science projects. Countless Github and arXiv links are floating around the web. Its hard to keep track of these gems. GitXiv attempts to solve this problem by offering a collaboratively curated feed of projects. Each project is conveniently presented as arXiv + Github + Links + Discussion.”

Machine Learning with Andrew Ng on Coursera

This is the definitive college-level course on Machine Learning. It has nearly 12,000 reviews. I’m working through it presently. Includes a great intro/refresher to linear algebra (that I needed).

Thanks to Stanford for providing the material.

Machine Learning is Fun!

The world’s easiest introduction to Machine Learning

There’s also a video course on Lynda.

Recurrent Neural Network Tutorial for Artists

from the post:

“This post is not meant to be a comprehensive overview of recurrent neural networks. It is intended for readers without any machine learning background. The goal is to show artists and designers how to use a pre-trained neural network to produce interactive digital works using simple Javascript and p5.js library.”

Simple Reinforcement Learning with Tensorflow

Introduction to practical application of Q-learning and neural networks using TensorFlow.

TensorFlow for Poets

How to build an image classifier in TensorFlow for poets.