Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (3rd Edition, Paperback)

Description

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is a practical guide for developers, data scientists, and engineers who want to design, train, and deploy machine learning and deep learning models using Python.

This third edition reflects updates to modern machine learning workflows and covers supervised and unsupervised learning, neural networks, deep learning architectures, and best practices for building intelligent systems. The book uses Scikit-Learn, Keras, and TensorFlow to demonstrate concepts with real-world examples and hands-on exercises.

The content progresses from fundamental machine learning concepts to advanced deep learning techniques, making it suitable for both learning and reference.

Key Topics Covered:

• Machine learning fundamentals and workflows

• Data preprocessing and feature engineering

• Supervised and unsupervised learning techniques

• Neural networks and deep learning

• TensorFlow and Keras model development

• Model training, evaluation, and deployment concepts

This book is intended for educational and professional reference use.

📘 Book Details

• Author: Aurélien Géron

• Edition: 3rd Edition

• Publication Year: 2022

• Language: English

• Publisher: O’Reilly Media

• Format: Paperback

• Pages: ~856 pages

🔢 ISBN Information (Paperback)

• ISBN-13: 978-1-098-12597-4

• ISBN-10: 1098125975