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Hands-On Machine Learning With Scikit-Learn And TensorFlow: Concepts, Tools, And Techniques To Build Intelligent Systems

Hands-On Machine Learning With Scikit-Learn And TensorFlow: Concepts, Tools, And Techniques To Build Intelligent Systems

 

 

 

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

by Aurélien Géron

rating: 4.9 (27 reviews)

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Details:
rank: #6,355
price: $24.99
bound: 566 pages
publisher: O'Reilly Media; 1 edition (March 13, 2017)
lang: English
asin: B06XNKV5TS
isbn:
weight:
filesize: 60302 KB

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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

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

You ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networksFailed to load latest commit informationContentsPart II Neural Networks and Deep Learning227 Appendix A Exercise Solutions473 Appendix B Machine Learning Project Checklist499 Appendix C SVM Dual Problem505 Appendix D Autodiff509 Appendix E Other Popular ANN Architectures517 Index527 About the Author544 Copyright Num Pages: 581 pagesREADME.md Fix typos and clarify some details in README.md Apr 30, 2017

 

This practical book shows you See more details below Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems available in Paperback, NOOK Book NOOK Book (eBook) $24.99 $24.99 $42.99 Save 42% Format Format Paperback - $32.41 NOOK Book - $24.99 Sign In to Complete Instant Purchase NOOK Devices NOOK by Samsung Galaxy Tab 7.0 [Tab A and Tab 4] NOOK by Samsung [Tab 4 10.1, S2 & E] NOOK HD Tablet NOOK HD+ Tablet NOOK eReaders NOOK Color NOOK Tablet Free NOOK Reading Apps NOOK for Windows 8 Tablet NOOK for iOS NOOK for Android NOOK Kids for iPad PC or Mac NOOK for PC Available on compatible NOOK Devicesand the free NOOK AppsNow, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from dataDecision Trees Training and Visualizing a Decision Tree Making Predictions Estimating Class Probabilities The CART Training Algorithm Computational Complexity Gini Impurity or Entropy? Regularization Hyperparameters Regression Instability Exercises Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from dataNow, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from dataThere are pieces of information hard to find somewhere else, and I have spent hundreds to thousands to attend workshops.Needless to say, I have not done all the exercises yetShop Now Toys & Games Toys & Games Popular Categories Arts & Crafts Bestsellers Building & LEGO Baby & Toddler Toys Dolls & Stuffed Animals Puzzles Science Center See More > Brands & Characters LeapFrog LEGO Melissa & Doug Minecraft Deals All Toys & Games Deals Price $25 & Under $25 - $50 $50 - $100 Age Groups 0 - 2 Years 3 - 5 Years 6 - 8 Years 9 - 12 Years Teens Fast & Fun Cars 3 Toys Hit top speed with new toys & collectibles inspired by the movieWith 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 Apply practical code examples without acquiring excessive machine learning theory or algorithm details

 

04traininglinearmodels.ipynb Use 'np.random' rather than 'import numpy.random as rnd', and add ran Jun 6, 2017 Sign inYour Account Your Amazon.com.auSellHelp Kindle Books Kindle Unlimited Bestsellers Kindle Daily Deal Kindle Monthly Deals Kindle Select Free Kindle Reading Apps Buy A Kindle Content and devices Kindle Support Find "hands on machine learning with scikit learn and tensorflow: concepts tools and techniques to build intelligent systems" on Amazon.com Kindle Store › Kindle eBooks › Computers & Technology You don't need to own a Kindle device to enjoy Kindle booksBook Condition: NewDestination, Rates & Speeds Add to Basket Compare all 26 new copies 30 Day Return Policy Customers Who Bought This Item Also Bought: Top Search Results from the AbeBooks Marketplace Stock Image 1105 April 2017 By Dog lover - Published on Amazon.comFormat: Kindle Edition Verified Purchase I have been a collector of books and classes of machine learning and deep learning for the last few years 07f867cfac

 

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