Tools and Techniques
Kalman filters can be used in any place where you have uncertain information about some dynamic system, and you can make an educated guess about what the system is going to do next. This is a great run-down of how they work and how to use them. For more detail, check out this Kalman Filter textbook, published as a set of IPython Notebooks.
The PyData ecosystem is growing rapidly with existing tools maturing and new tools appearing on a regular basis. In this talk from PyData, Rob Story examines this crowded ecosystem and brings some clarity when deciding on which tool to use in a given situation. Also, check out the IPython notebook that goes along with this talk.
This tutorial describes 10 common machine learning algorithms and includes code snippets for each in both R and Python.
Super cool experiment and tutorial. The recordings are amazing! This is very well explained and there’s also a GitHub repo of code to get started with.