Buy Data Science : An Introduction to Statistics and Machine Learning | FOREIGN BOOKS , A Social Legal Perspective

ABOUT THE BOOK

This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of data science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and machine learning. These topics are presented in a clear and mathematical sound way to help readers gain a deep and fundamental understanding. Numerous application examples based on real data are included. The book is well-suited for lecturers and students at technical universities, and offers a good introduction and overview for people who are new to the subject. Basic mathematical knowledge of calculus and linear algebra is required.

TABLE OF CONTENTS

1. Basics

   1. Front Matter

      Pages 9-9

      
      

   2. Elements of data organization

      • Matthias Plaue

      Pages 11-34

   3. Descriptive statistics

      • Matthias Plaue

      Pages 35-64

2. Stochastics

   1. Front Matter

      Pages 65-65

      
      

   2. Probability theory

      • Matthias Plaue

      Pages 67-110

   3. Inferential statistics

      • Matthias Plaue

      Pages 111-159

   4. Multivariate statistics

      • Matthias Plaue

      Pages 161-181

3. Machine learning

   1. Front Matter

      Pages 183-183

   2. Supervised machine learning

      • Matthias Plaue

      Pages 185-248

   3. Unsupervised machine learning

      • Matthias Plaue

      Pages 249-276

   4. Applications of machine learning

      • Matthias Plaue

      Pages 277-297