Book Image

Python Machine Learning - Third Edition

By : Sebastian Raschka, Vahid Mirjalili
Book Image

Python Machine Learning - Third Edition

By: Sebastian Raschka, Vahid Mirjalili

Overview of this book

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself. Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents. This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.
Table of Contents (21 chapters)
20
Index

Who this book is for

If you have already studied machine learning theory in detail, this book will show you how to put your knowledge into practice. If you have used machine learning techniques before and want to gain more insight into how machine learning actually works, this book is also for you.

Don't worry if you are completely new to the machine learning field; you have even more reason to be excited! This is a promise that machine learning will change the way you think about the problems you want to solve and show you how to tackle them by unlocking the power of data. If you want to find out how to use Python to start answering critical questions about your data, pick up Python Machine Learning. Whether you want to start from scratch or extend your data science knowledge, this is an essential and unmissable resource.