Applied Machine Learning with Python

Overview

This book was designed and written in a concise manner to be primarily used for practitioners, and therefore it can be considered as a reference for the main models used in today's business.It also guides the readers into different methods, ranging from Bagging to the modern XGBoost, which is probably the first-best choice for any practitioner in machine learning. This is actually a strong point of this book since, up to now, no book has been written giving particular attention to these recent ensemble methods.

Author Biography

Andrea Giussani is an Academic Fellow in Computer Science at Bocconi University. He holds a PhD in Statistics, and he has published in several peer-reviewed journals.