Applied Machine Learning with Python
- 200pages
- 7 heures de lecture
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.
