Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

Why is causal inference such a key topic for data scientists to learn about?

In 2022 there were an average of 3.2 new papers on causality published on ArXiv every day, a number which has been growing exponentially over the past 3-5 years. Top researchers and organizations like Microsoft, Amazon, and DeepMind invest their resources in causal research and we are seeing more and more causal applications in industry. Companies across various business sectors implement causal methods – from gaming to manufacturing, from finance to automotive - and among them are companies like Spotify, Playtika and BMW.

This book will help you learn about causal inference by covering the basicsnecessary to understand this new and dynamic field, and – using a step-by-step approach – we then move towards more advanced and state-of-the-art methods, helping you to build a comprehensive, and powerful skillset.

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