Hands On Machine Learning With Scikit Learn Keras 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
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 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 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 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 Keras Tensorflow

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Author : Aurélien Géron
language : en
Publisher:
Release Date : 2020

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 2020 with Machine learning categories.

Machine Learning Avec Scikit Learn

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Author : Aurélien Géron
language : fr
Publisher:
Release Date : 2017-06-07

Machine Learning Avec Scikit Learn 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 2017-06-07 with Artificial intelligence categories.

Cet ouvrage, conçu pour tous ceux qui souhaitent s'initier au Machine Learning (apprentissage automatique) est la traduction de la première partie du best-seller américain Hands-On Machine Learning with Scikit-Learn & TensorFlow. Il ne requiert que peu de connaissances en mathématiques et présente les fondamentaux du Machine Learning d'une façon très pratique à l'aide de Scikit-Learn qui est l'un des frameworks de ML les plus utilisés actuellement. Des exercices corrigés permettent de s'assurer que l'on a assimilé les concepts et que l'on maîtrise les outils. Des compléments en ligne interactifs sous forme de Jupyter notebooks complètent le livre avec des exemples exécutables. Ce premier titre est complété par un second ouvrage intitulé Deep Learning avec TensorFlow.

Jing Tong Ji Qi Xue Xi

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Author : Aurélien Géron
language : zh-CN
Publisher:
Release Date : 2020

Jing Tong Ji Qi Xue Xi 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 2020 with Artificial intelligence categories.

Shen du xue xi jing li le yi xi lie de tu po zhi hou,Yi jing da fu tui dong le zheng ge ji qi xue xi ling yu,Ru jin,Ji shi ni dui zhei xiang ji shu yi wu suo zhi,Ye ke yi shi yong jian dan,Gao xiao de gong ju,Zhi zuo ke cong zi liao zhong xue xi de cheng shi.Zhei ben chang xiao shu xin ban ben shi yong ju ti de an li,Jing jian de li lun,Yi ji Python zhun sheng chan kuang jia,Xie zhu ni zhi guan di ren shi zhi hui xi tong de gai nian yu jian gou gong ju.Ni jiang xue dao ke kuai su shang shou de ji shu,Zhi yao ju bei cheng shi bian xie jing yan,Jiu ke yi jie you ge zhang de xi ti lai xue xi.Ni ke yi zai GitHub qu de ben shu de suo you cheng shi ma,Zhei xie cheng shi yi jing geng xin wei TensorFlow 2,Yi ji zui xin ban de Scikit-Learn.

Van Bacterie Naar Bach En Terug

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Author : Daniel C. Dennett
language : nl
Publisher: Atlas Contact
Release Date : 2017-08-29

Van Bacterie Naar Bach En Terug written by Daniel C. Dennett and has been published by Atlas Contact this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-29 with Biography & Autobiography categories.

Vijfentwintig jaar na het meesterwerk van Daniel Dennett over het bewustzijn, 'Het bewustzijn verklaard', verschijnt de opvolger: 'Van bacterie naar Bach en terug'. In dit nieuwe boek onderzoekt Dennett hoe je abstracte begrippen als ziel, intelligentie en creativiteit kunt beschrijven. De auteur buigt zich wederom over de grote vragen waar hij zijn hele carrière al mee bezig is. Hebben we een vrije wil? Wat betekent bewustzijn? Wat gebeurt er wanneer iemand denkt? Dennett gebruikt biologie en computerwetenschap, en dan vooral kunstmatige intelligentie, en komt zo tot een nieuwe visie op de menselijke geest. 'Ja, we hebben een ziel, maar die bestaat uit talloze kleine robots,' zegt Dennett, een mooi beeld om uit te leggen dat, hoe ongrijpbaar de 'ziel' of het 'bewustzijn' ook is, er wel exacte, controleerbare zaken aan ten grondslag liggen. Even ongrijpbaar is de vrije wil: ja, die bestaat volgens Dennett, en dat die tot stand komt in talloze chemische processen is daarmee niet in tegenspraak: lichaam en geest werken altijd samen, je kunt zelfs zeggen dat ze samenvallen. Een baanbrekend filosofisch meesterwerk.