Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow pdf

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Aurélien Géron


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"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow", third edition by Aurélien Géron is widely regarded as one of the best practical guides to machine learning, offering comprehensive coverage of key concepts, tools, and techniques for building intelligent systems. This book covers the entire machine learning model development lifecycle, from data collection and preprocessing to building and deploying models using popular libraries such as Scikit-Learn, Keras, and TensorFlow. Géron shares his expertise by explaining complex concepts in simple language, accompanied by code examples and hands-on exercises to reinforce understanding.

The book covers fundamental machine learning algorithms and advanced deep learning models, including neural networks. It is suitable for both beginners and experienced practitioners who want to deepen their skills and apply machine learning in practice. Download "Hands-On Machine Learning" in PDF for free of the book and start building your models today!

hands-on machine learning with scikit-learn, keras, and tensorflow, 3rd edition
hands-on machine learning with scikit-learn, keras, and tensorflow third edition pdf

What Makes "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow", 3rd edition Stand Out?

This book stands out for its accessibility and practical approach. It offers step-by-step instructions for developing and training machine learning models, starting with simple algorithms and progressing to complex neural networks. Aurélien Géron explains complex topics in an easy-to-understand manner, making the material accessible even for those new to machine learning. The book includes real-world Python code examples that can be applied immediately, reinforcing theoretical concepts and enabling readers to build their solutions.

Special emphasis is given to tools such as Scikit-Learn, Keras, and TensorFlow, leading tools in model development. Advanced techniques such as deep learning, image processing, and natural language processing (NLP) are also covered, making it valuable for both beginners and seasoned professionals.

What Will You Learn?

By reading this book, you will master fundamental and advanced machine learning methods, learn to develop and optimize models using Scikit-Learn, Keras, and TensorFlow, and build neural networks. You’ll gain skills in working with large datasets and applying machine learning to real-world tasks, such as image and text analysis. Key topics include:

  • Machine learning fundamentals and algorithms
  • Using Scikit-Learn, Keras, and TensorFlow libraries
  • Building and training neural networks
  • Applying deep learning
  • Image and text processing
  • Model optimization and evaluation

More About the Author of the Book

Aurélien Géron

He is a Machine Learning consultant and former Googler, where he led the YouTube video classification team from 2013 to 2016. He was also the founder and CTO of Wifirst, a leading Wireless ISP in France, from 2002 to 2012, and the founder and CTO of Polyconseil in 2001, which now manages the Autolib' electric car sharing service.

Earlier in his career, Aurélien worked as an engineer across various domains, including finance (JP Morgan and Société Générale), defense (Canada's Department of Defense), and healthcare (blood transfusion). He has authored several technical books on C++, WiFi, and Internet architectures and has also been a Computer Science lecturer at a French engineering school.

FAQ for "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow"

Which Libraries Are Used in the Book?

The book focuses on three key tools: Scikit-Learn, Keras, and TensorFlow, which make it easy to create and train machine learning and deep learning models.

What Skill Level Is the Book Suited For?

It is suitable for all skill levels, from beginners who want to learn the basics of machine learning to experienced professionals aiming to deepen their knowledge of deep learning and big data processing.

What Deep Learning Topics Does the Author Cover?

The book covers building and training neural networks, image processing using convolutional neural networks (CNNs), text processing (NLP), recurrent neural networks (RNNs), and other deep learning techniques.

Are There Code Examples in the Book?

Yes, it contains numerous practical examples in Python, demonstrating how to implement algorithms and models using Scikit-Learn, Keras, and TensorFlow.

What Skills Will Developers Improve by Reading "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow", third edition?

This book will enhance your skills in data manipulation, model training, optimization, and testing, while deepening your understanding of complex concepts like regularization and reinforcement learning.

Information

Author: Aurélien Géron Language: English
Publisher: O'Reilly Media; 3rd edition ISBN-13: 978-1098125974
Publication Date: November 8, 2022 ISBN-10: 1098125975
Print Length: 861 pages Category: Machine Learning and Artificial Intelligence Books


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