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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd edition
物品 #: 90283695

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd edition

物品 #: 90283695
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產品詳情

Shop Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd edition online at a best price in 香港. 275651781198
Country of OriginUnited States
PersonalizedNo
FeaturesRevised Edition
ISBN9781492032649
Subject AreaMathematics, Computers
Publication NameHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems
PublisherO'reilly Media, Incorporated
Item Length9.4 in (23.88 cm)
SubjectIntelligence (Ai) & Semantics, General, Data Processing, Computer Vision & Pattern Recognition
Publication Year2019
TypeTextbook
FormatTrade Paperback
LanguageEng,Swa
Item Height1.4 in (3.56 cm)
AuthorAuru00e9lien Gu00e9ron
Item Weight43.2 Oz (1224.72 grams)
Item Width7 in (17.78 cm)
Number of Pages848 Pages

產品敘述

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd edition

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編輯評論

Hands-On Machine Learning With Scikit-Learn, Keras, And TensorFlow 2nd Edition is an essential textbook for anyone interested in building intelligent systems using contemporary machine learning techniques. This revised edition offers a comprehensive overview of the concepts, tools, and techniques necessary for effective data processing and computer vision applications. With 848 pages of insightful content written by Aurélien Géron, it serves as a valuable resource for both beginners and experienced practitioners. The book covers a variety of subject areas including AI and data processing, making it a well-rounded choice for those studying mathematics or computer science.

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優點

  • Comprehensive coverage of machine learning concepts
  • Written by recognized expert Aurélien Géron
  • Revised edition with updated techniques
  • Suitable for both beginners and professionals
  • Includes practical examples and applications

缺點

  • Some readers may find it quite lengthy

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