An introduction to machine learning /
Saved in:
Main Authors: | |
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Group Author: | ; |
Published: |
Springer,
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Publisher Address: | Cham : |
Publication Dates: | [2019] |
Literature type: | Book |
Language: | English |
Subjects: | |
Carrier Form: | xxii, 263 pages : illustrations (some color) ; 24 cm |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9783030157289 3030157288 9783030157302 303015730X 9783030157319 3030157318 |
Index Number: | Q325 |
CLC: | TP181 |
Call Number: | TP181/R289 |
Contents: | Intro; Preface; Reading the Book; Acknowledgments; Contents; List of Figures; List of Tables; Chapter 1: Machine Learning Definition and Basics; 1.1 Introduction; 1.1.1 Resurgence of ML; 1.1.2 Relation with Artificial Intelligence (AI); 1.1.3 Machine Learning Problems; 1.2 Matrices; 1.2.1 Vector and Tensors; 1.2.2 Matrix Addition (or Subtraction); 1.2.3 Matrix Transpose; 1.2.4 Matrix Multiplication; 1.2.4.1 Multiplying with a Scalar; 1.2.4.2 Multiplying with Another Matrix; 1.2.4.3 Multiplying with a Vector; 1.2.5 Identity Matrix; 1.2.6 Matrix Inversion; 1.2.7 Solving Equations Using Matrices |