The second and expanded edition of a comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. This textbook offers a comprehensive and self-contained introduction to the field of m... (more…)

We’ve listed common types of data bias in machine learning to help you analyze and understand where it happens, and what you can do about it. (more…)

Developing machine learning predictive models from time series data is an important skill in Data Science. While the time element in the data provides valuable information for your model, it can also lead you down a path that could fool you into something... (more…)

Or how to shoot yourself in the foot with a bazooka. (more…)

Last month, I gave a keynote at PyData Warsaw about the existing (and growing) gap between academia and industry, specifically when it comes to machine learning and data science. (more…)