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

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TABLE OF CONTENTS
Part I The Fundamentals of Machine Learning
1 The Machine Learning Landscape
2 End-to-End Machine Learning Project
3 Classification
4 Training Models
5 Support Vector Machines
6 Decision Trees
7 Ensemble Learning and Random Forest
8 Dimensionality Reduction
9 Unsupervised Learning Techniques

Part II Neural Networks and Deep Learning
10 Introduction Networks and Deep Learning
11 Training Deep Neural Networks
12 Custom Models and Training with TensorFlow
13 Loading and Preprocessing Data with TensorFlow
14 Deep Computer Vision Using Convolutional Neural Network
15 Processing Sequences Using RNNs and CNNs
16 Natural Language Processing with RNNs and Attention
17 Autoencoders, GANs, and Diffusion Models
18 Reinforcement Learning
19 Training and Deploying TensorFlow Models at Scale

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Availability

5555132728

006.31 GER h

Pusat (Sirkulasi)

Available

Detail Information

Series Title

-

Call Number

006.31 GER h

Publisher

California : O'Reilly Media Inc.., 2023

Collation

xxv, 834p.; 15 x 21 cm.

Language

English

ISBN/ISSN

978-1-098-12597-4

Classification

006.31

Content Type

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Media Type

-

Carrier Type

-

Edition

3

Subject(s)

MACHINE LEARNING
ARTIFICIAL INTELLIGENCE

Specific Detail Info

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Statement of Responsibility

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