This book is a comprehensive guide to Machine Learning with practical applications using Python-based tools such as Sklearn, Keras, and TensorFlow. It introduces the fundamental concepts of Machine Learning, explores various tools and techniques for building intelligent systems, and offers hands-on experience with real-world projects using Scikit-Learn, Keras, and TensorFlow.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

This book provides practical introduction to machine learning, focusing on methods and principles behind the design and architecture of Intelligent Systems. Through a pedagogical approach, it gives insights into concepts and tools used in Machine Learning using Scikit-Learn and TensorFlow libraries.

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and TensorFlow is a comprehensive guide to the practical understanding and implementation of machine learning algorithms. It uses Python libraries - Scikit-Learn and TensorFlow for teaching concepts and techniques, giving readers a hands-on approach to this emerging field.

Aurélien Géron

Browse summaries