Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
I will be using this book for:
15 total votes

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

by Aurélien Géron

Education Computers artificial intelligence
1 Star 2 Star 3 Star 4 Star 5 Star
0.0 out of 5 stars (0 ratings)

This book offers practical insights into machine learning using Scikit-Learn, Keras, and TensorFlow. It covers fundamental concepts, essential tools, and techniques for creating intelligent systems. Ideal for those seeking hands-on experience in building and deploying machine learning models effectively.

About This Book

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow provides a comprehensive introduction to building intelligent systems using key machine learning libraries.

Readers will explore core concepts and practical tools essential for developing effective machine learning models.

The book emphasizes hands-on techniques to apply Scikit-Learn for data processing and model training, Keras for neural networks, and TensorFlow for scalable implementations.

Through structured examples, it guides users in constructing robust systems for real-world applications.

Reviews

No reviews yet. Be the first to review this book!


Write a Review
I will be using this book for:
15 total votes