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Maria Cristina Mariani
Data Science in Theory and Practice
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Страница 1
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Data Science in Theory and Practice Techniques for Big Data Analytics and Complex Data Sets
Страница 8
List of Figures
List of Tables
Preface
1 Background of Data Science 1.1 Introduction
1.2 Origin of Data Science
1.3 Who is a Data Scientist?
1.4 Big Data
1.4.1 Characteristics of Big Data
1.4.2 Big Data Architectures
2 Matrix Algebra and Random Vectors 2.1 Introduction
2.2 Some Basics of Matrix Algebra 2.2.1 Vectors
2.2.2 Matrices
Theorem 2.1
2.3 Random Variables and Distribution Functions
2.3.1 The Dirichlet Distribution
2.3.2 Multinomial Distribution
2.3.3 Multivariate Normal Distribution
2.4 Problems
3 Multivariate Analysis 3.1 Introduction
3.2 Multivariate Analysis: Overview
3.3 Mean Vectors
3.4 Variance–Covariance Matrices
3.5 Correlation Matrices
3.6 Linear Combinations of Variables
3.6.1 Linear Combinations of Sample Means
3.6.2 Linear Combinations of Sample Variance and Covariance
3.6.3 Linear Combinations of Sample Correlation
3.7 Problems
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