Hands On Machine Learning With Scikit Learn And Tensorflow

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Hands On Machine Learning With Scikit Learn Keras And Tensorflow

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Author : Aurélien Géron
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-09-05

Hands On Machine Learning With Scikit Learn Keras And Tensorflow written by Aurélien Géron and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-05 with Computers categories.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

Hands On Machine Learning With Scikit Learn Keras And Tensorflow

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Author : Aurélien Géron
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-10-04

Hands On Machine Learning With Scikit Learn Keras And Tensorflow written by Aurélien Géron and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-04 with Computers categories.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. Use Scikit-learn to track an example ML project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning

Hands On Machine Learning With Scikit Learn And Tensorflow

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Author : Aurélien Géron
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-03-13

Hands On Machine Learning With Scikit Learn And Tensorflow written by Aurélien Géron and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-13 with Computers categories.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks--scikit-learn and TensorFlow--author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.

Hands On Machine Learning With Scikit Learn And Pytorch

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Author : Aurélien Géron
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-10-22

Hands On Machine Learning With Scikit Learn And Pytorch written by Aurélien Géron and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-22 with Computers categories.

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place. With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and real-world examples, the book takes you through cutting-edge tools like Scikit-Learn and PyTorch—from basic regression techniques to advanced neural networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to build intelligent systems. Understand ML basics, including concepts like overfitting and hyperparameter tuning Complete an end-to-end ML project using scikit-Learn, covering everything from data exploration to model evaluation Learn techniques for unsupervised learning, such as clustering and anomaly detection Build advanced architectures like transformers and diffusion models with PyTorch Harness the power of pretrained models—including LLMs—and learn to fine-tune them Train autonomous agents using reinforcement learning

Hands On Machine Learning With Scikit Learn Keras And Tensorflow 2nd Edition

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Author : Aurélien Géron
language : en
Publisher:
Release Date : 2019

Hands On Machine Learning With Scikit Learn Keras And Tensorflow 2nd Edition written by Aurélien Géron and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow-author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets.

Hands On Machine Learning With Scikit Learn And Pytorch Concepts Tools And Techniques To Build In

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Author : Aurelien Geron
language : en
Publisher:
Release Date : 2025

Hands On Machine Learning With Scikit Learn And Pytorch Concepts Tools And Techniques To Build In written by Aurelien Geron and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.

Hands On Machine Learning With Scikit Learn Keras And Tensorflow 3rd Edition

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Author : Aurélien Géron
language : en
Publisher:
Release Date : 2022

Hands On Machine Learning With Scikit Learn Keras And Tensorflow 3rd Edition written by Aurélien Géron and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. Use scikit-learn to track an example machine learning project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, and transformers Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning Train neural nets using multiple GPUs and deploy them at scale using Google's Vertex AI.

Hands On Machine Learning With Scikit Learn Tensorflow

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Author : Aurélien Géron
language : en
Publisher:
Release Date : 2017

Hands On Machine Learning With Scikit Learn Tensorflow written by Aurélien Géron and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Artificial intelligence categories.

Machine Learning With Scikit Learn And Tensorflow

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Author : David T Powell
language : en
Publisher: Independently Published
Release Date : 2025-12-07

Machine Learning With Scikit Learn And Tensorflow written by David T Powell and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-07 with Computers categories.

Machine Learning with Scikit-Learn and TensorFlow: A Hands-On Guide to Scikit-Learn and TensorFlow for Real World AI This book is the definitive, hands-on guide for developers and data scientists looking to master the end-to-end Machine Learning pipeline. Starting with the foundational principles of data representation, statistics, and optimization (calculus, gradient descent), the book provides a comprehensive journey across the entire ML landscape. Part I focuses on classical methods using Scikit-Learn, covering linear models, evaluation metrics (ROC, AUC, F1-Score), Support Vector Machines, and powerful ensemble techniques like Random Forests and Gradient Boosting. Part II shifts entirely to Deep Learning with TensorFlow and Keras, tackling the instability of deep networks (vanishing/exploding gradients) using modern solutions like Batch Normalization and Transfer Learning. Readers will learn to architect specialized networks, including Convolutional Neural Networks (CNNs) for vision, Recurrent Neural Networks (RNNs) for sequence processing, and Generative Adversarial Networks (GANs) for creating new data. The final section addresses production readiness, detailing scalable data pipelines (tf.data), distributed training strategies, and deployment using the SavedModel format, TensorFlow Serving, and TensorFlow Lite for edge devices. This guide ensures practitioners can not only build sophisticated models but also deploy and monitor them reliably at scale.

Hands On Machine Learning With Scikit Learn Keras Tensorflow

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Author : Aurélien Géron
language : en
Publisher:
Release Date : 2023

Hands On Machine Learning With Scikit Learn Keras Tensorflow written by Aurélien Géron and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Machine learning categories.