Book Details

Welcome to the world of machine learning! In recent years, the rapid advancement of technology has empowered machines to not only assist but also learn from data, enabling them to make decisions, recognize patterns, and even predict future outcomes with remarkable accuracy. This transformational capability lies at the heart of machine learning. This book on Introduction to Machine Learning, Supervised and Unsupervised Learning, Performance Measures, Mathematical Foundation for ML, System of Linear Equations, Symmetric Positive Definite Matrices, Linear Models, The Least-Squares Method, Support Vector Machines, Clustering, Hebbian Learning Rule, Expectation-Maximization Algorithm for Clustering, Classification Models, Introduction to Neural Networks, Perceptron Learning Rule, Logistic Regression, Dimensionality Reduction, Curse of Dimensionality, Feature Selection and Feature Extraction, Dimensionality Reduction Techniques. The authors hope that this book will be very useful to the IT professionals, solution architects, business analysts, and decision-makers.