"Machine Learning: A Comprehensive Guide for Business Management" is an essential resource for MBA students and professionals, offering insights into machine learning principles and their applications in business. The book traces the history and evolution of machine learning, emphasizing its relevance in contemporary data-driven decision-making. It covers various types of machine learning, including supervised, unsupervised, semi-supervised, and reinforcement learning, highlighting their business applications. The book also addresses data preprocessing, exploratory data analysis, and feature engineering, ensuring the quality of models. Advanced topics like ensemble methods, neural networks, NLP, and recommender systems are explored, preparing students to excel in a data-driven business environment.
