[P] Machine Learning for Imbalanced Data Book + GitHub Repo

Self-promotion alert: I recently wrote a book, "Machine Learning for Imbalanced Data."

The book primarily focuses on classification problems, where too little data or too much data for one or more classes leads to an imbalance. Data imbalance (unbalance) or class imbalance has been a controversial topic to write about, with criticism about sampling techniques leading to model miscalibration issues and a host of other problems. However, this book aims to do justice to both sides of the coin, going …

alert book class classification data github github repo leads machine machine learning machinelearning promotion too little