Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Edition: First edition
Publisher: O'Reilly Media
Published: Apr 09, 2017
Place of publication: Sebastopol, USA
Language: eng
Number of pages: 574
ISBN-13: 9781491962299
Copyright date: 2017
First sentence: When most people hear "Machine Learning," they picture a robot: a dependable butler or a deadly Terminator depending on who you ask.
Description: xx, 543 pages : 24 cm
Table of contents: label: Preface
pagenum: xiii; label: Part I
title: The Fundamentals of Machine Learning
pagenum: 1; label: Chapter 1
title: The Machine Learning Landscape
pagenum: 3; label: Chapter 2
title: End-to-End Machine Learning Project
pagenum: 33; label: Chapter 3
title: Classification
pagenum: 79; label: Chapter 4
title: Training Models
pagenum: 105; label: Chapter 5
title: Support Vector Machines
pagenum: 145; label: Chapter 6
title: Decision Trees
pagenum: 167; label: Chapter 7
title: Ensemble Learning and Random Forests
pagenum: 181; label: Chapter 8
title: Dimensionality Reduction
pagenum: 205; label: Part II
title: Neural Networks and Deep Learning
pagenum: 227; label: Chapter 9
title: Up and Running with TensorFlow
pagenum: 229; label: Chapter 10
title: Introduction to Artificial Neural Networks
pagenum: 253; label: Chapter 11
title: Training Deep Neural Nets
pagenum: 275; label: Chapter 12
title: Distributing TensorFlow Across Devices and Servers
pagenum: 313; label: Chapter 13
title: Convolutional Neural Networks
pagenum: 353; label: Chapter 14
title: Recurrent Neural Networks
pagenum: 379; label: Chapter 15
title: Autoencoders
pagenum: 413; label: Chapter 16
title: Reinforcement Learning
pagenum: 439; label: A.
title: Exercise Solutions
pagenum: 473; label: B.
title: Machine Learning Project Checklist
pagenum: 499; label: C.
title: SVM Dual Problem
pagenum: 505; label: D.
title: Autodiff
pagenum: 509; label: E.
title: Other Popular ANN Architectures
pagenum: 517; label: Index
pagenum: 527