Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3rd Edition)

About the Book – Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3rd Edition)

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron is a practical and comprehensive guide to building intelligent systems using modern machine learning and deep learning techniques.

The book takes readers on a step-by-step journey, beginning with fundamental machine learning concepts and progressing towards advanced neural networks and deep learning applications. Through practical examples, Python code, and real-world projects, it demonstrates how to transform theoretical knowledge into working machine learning solutions.

Using popular frameworks such as Scikit-Learn, Keras, and TensorFlow, readers gain hands-on experience in developing, training, evaluating, and deploying machine learning models.

What You Will Learn:

• Understand machine learning concepts and algorithms.
• Build complete machine learning projects using Python.
• Work with regression, classification, and clustering techniques.
• Explore decision trees, random forests, and ensemble learning.
• Develop deep neural networks using Keras and TensorFlow.
• Understand convolutional and recurrent neural networks.
• Explore transformers and modern deep learning architectures.
• Apply machine learning to computer vision and natural language processing.
• Improve model performance and develop scalable AI solutions.

Who Should Read This Book?

This book is ideal for Python programmers, software developers, data scientists, machine learning engineers, AI students, researchers, and technology professionals looking to strengthen their practical machine learning skills.

Why Read This Book?

Combining clear explanations with practical implementation, this book helps readers bridge the gap between machine learning theory and real-world applications. It is a valuable learning resource for anyone interested in developing intelligent software and exploring the possibilities of artificial intelligence.

About the Author – Aurélien Géron

Aurélien Géron is a renowned machine learning consultant, lecturer, and technical author specialising in artificial intelligence, machine learning, and deep learning. He is widely recognised for his practical approach to explaining complex technological concepts and making them accessible to programmers and aspiring AI professionals.

A former Google engineer, Géron led YouTube's video classification team from 2013 to 2016. He has also co-founded and served as Chief Technology Officer of several companies, including Wifirst and Polyconseil, gaining experience in technology, telecommunications, and business development.

Before focusing on machine learning, he worked as an engineer across several industries, including finance, defence, and healthcare. He has also taught computer science at engineering schools and written technical books on programming, Wi-Fi, and internet technologies.

Areas of Expertise:

• Artificial Intelligence and Machine Learning
• Deep Learning and Neural Networks
• Python Programming
• TensorFlow, Keras, and Scikit-Learn
• Computer Vision and Data Science
• Machine Learning Applications and Engineering

Through his bestselling book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Aurélien Géron continues to help readers develop practical skills for building intelligent systems and understanding modern AI technologies.