"Learn how to use decision trees and random forests for classification and regression, their respective limitations, and how the algorithms that build them work

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

This book constitutes the proceedings of the satellite workshops held around the 18th International Conference on Applied Cryptography and Network Security, ACN

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniq