Tools and Techniques
Simple and clean examples of machine learning algorithms for people who want to learn how they work. All algorithms are implemented in Python, using numpy, scipy and autograd.
New from Google: a machine learning playground! There are eight applications to play with, short videos to explain them, and code for exploring how they work.
Nice intro to deep learning, including links to online courses, free books, and popular projects.
In this tutorial, Max Pagels shows how how he made the lights in his flat function autonomously using a simple, feed-forward neural network (a multi-layered perceptron).
Nice tutorial for extracting data from a web page. Starts with the basics of HTML page construction and uses a page from the National Weather Service to show how to parse, extract, and analyze its data.
Containers, such as Docker, are widely used in the software industry but have been tricky to use for machine learning. A new tool from NVIDIA seeks to change that. Here's why using Docker makes sense for a lot of data science projects, what the challenges have been, and how to use NVIDIA's new tool.