Machine Learning Fundamentals

Concepts, Models, and Applications

Amar Sahay, Rajeev Sahay

• Publisher: Business Expert Press
• Year: 2025
• Print ISBN: 9781637427484
• eBook ISBN: 9781637427491
• Edition: 0
• Topic: Business
• Subtopic: IT Industry
• Index: Business

Machine Learning Fundamentals provides a comprehensive overview of data science, emphasizing machine learning (ML). This book covers ML fundamentals, processes, and applications, that are used as industry standards. Both supervised and unsupervised learning ML models are discussed.

Topics include data collection and feature engineering techniques as well as regression, classification, neural networks (deep learning), and clustering. Motivated by the success of ML in various fields, this book is designed for a wide audience coming from various disciplines such as engineering, IT, or business and is suitable for those getting started with ML for the first time.

This text can also serve as the main or supplementary text in any introductory data science course from any discipline, offering real-world applications and tools in all areas.

Table of contents

• Front Cover
• Half Title
• Title Page
• Copyright
• Dedication
• Description
• Contents
• Preface
• Acknowledgments
• Introduction
• Part 1 Data Science and Its Elements
• Part 2 Machine Learning (ML) Libraries, Data Representation, Problem Formulation, and EDA
• Part 3 Machine Learning Models
• Part 4 Training Machine Learning Models
• Part 5 Current State of Machine Learning
• Bibliography
• About the Authors
• Index
• Other Titles in the Big Data, Business Analytics, and Smart Technology Collection
• Back Cover