Machine Learning Fundamentals

Preface ..................................................................................................xi

Acknowledgments .................................................................................xiii

Introduction ......................................................................................... xv

PART 1 Data Science and Its Elements ..................................... 1

Chapter 1 Data Science and Machine Learning (ML):

An Overview and Scope of Data Science ..........................3

Chapter 2 Introduction and Basics of Machine Learning (ML) .......17

Chapter 3 Machine Learning Process, Associated Areas, and

Managing Data in ML Models .......................................47

PART 2 Machine Learning (ML) Libraries, Data

Representation, Problem Formulation, and EDA ...... 67

Chapter 4 Libraries and Algorithms Used in Machine Learning,

Data, and ML Models ....................................................69

Chapter 5 Working With Data ........................................................77

PART 3 Machine Learning Models ......................................... 99

Chapter 6 Supervised Learning Models .........................................101

Chapter 7 Unsupervised Learning Models .....................................165

Chapter 8 Supervised Learning Models Deep Learning Models .....189

PART 4 Training Machine Learning Models ......................... 207

Chapter 9 Training Machine Learning Models ..............................209

PART 5 Current State of Machine Learning .......................... 221

Chapter 10 Real-World Applications of Machine Learning .............223

Bibliography .......................................................................................233

About the Authors ...............................................................................237

Index .................................................................................................239