We present a brief history of the field of interpretable machine learning (IML), give an overview of state-of-the-art interpretation methods, and discuss challenges. Research in IML has boomed in recent years. As young as the field is, it has over 200 yea... (more…)

Between 2015 and 2020 I have participated in Quantopian and Numerai tournaments. Being involved in these tournaments has led me to a very profitable journey: I made around $350k during these years… (more…)

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In this video, we put the language model ChatGPT to the test by having it take on a programming course focused on machine learning. While ChatGPT demonstrate... (more…)

Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable. (more…)