Machine Learning and Big Data

Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications

by Dulhare, Uma N.

Type Book
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Including hands-on tools and numerous case studies, this book aims to provide awareness of algorithms used for machine learning and big data in the academic and professional community. --

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Title Statements

  • Full title :Machine Learning and Big Data : Concepts, Algorithms, Tools and Applications / Uma N. Dulhare, Khaleel Ahmad, Khairol Amali Bin Ahmad.

Summary

Including hands-on tools and numerous case studies, this book aims to provide awareness of algorithms used for machine learning and big data in the academic and professional community. --

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Edition Statements

  • Publication Date:2020.

Publication Statements

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9781119654810, 1119654815
  • oclc:on1191054046
  • LC Classification:QA76.9.B45
  • Dewey Decimal:005.7

Table of Contents

Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Section 1: Theoretical Fundamentals -- Chapter 1 Mathematical Foundation -- 1.1 Concept of Linear Algebra -- 1.1.1 Introduction -- 1.1.2 Vector Spaces -- 1.1.3 Linear Combination -- 1.1.4 Linearly Dependent and Independent Vectors -- 1.1.5 Linear Span, Basis and Subspace -- 1.1.6 Linear Transformation (or Linear Map) -- 1.1.7 Matrix Representation of Linear Transformation -- 1.1.7.1 Transformation Matrix -- 1.1.8 Range and Null Space of Linear Transformation -- 1.1.9 Invertible Linear Transformation

1.2 Eigenvalues, Eigenvectors, and Eigendecomposition of a Matrix -- 1.2.1 Characteristics Polynomial -- 1.2.1.1 Some Results on Eigenvalue -- 1.2.2 Eigendecomposition [11] -- 1.3 Introduction to Calculus -- 1.3.1 Function -- 1.3.2 Limits of Functions -- 1.3.2.1 Some Properties of Limits -- 1.3.2.2 1nfinite Limits -- 1.3.2.3 Limits at Infinity -- 1.3.3 Continuous Functions and Discontinuous Functions -- 1.3.3.1 Discontinuous Functions -- 1.3.3.2 Properties of Continuous Function -- 1.3.4 Differentiation -- References -- Chapter 2 Theory of Probability -- 2.1 Introduction -- 2.1.1 Definition

2.1.1.1 Statistical Definition…

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