3 Review(s)

Foundations of Machine Learning Classification for Transforming Data into Smart Decisions (Bridging Fundamentals and Applications) is designed as a gateway into the world of machine learning, with a sharp focus on classification—the backbone of intelligent decision-making systems. It takes readers on a structured journey from the fundamentals of machine learning, to understanding classification theory, and finally to mastering logistic regression and Naïve Bayes with real-world examples and Python implementations. Machine Learning (ML) has become one of the most transformative technologies, powering applications from spam filtering and medical diagnosis to recommendation systems and fraud detection. Unlike traditional programming, where every rule must be explicitly defined, ML enables systems to learn patterns from data and make intelligent predictions or decisions. With the explosion of big data, the demand for ML skills has grown across industries such as IT, finance, healthcare, e-commerce, and manufacturing. For students, mastering ML provides not just technical knowledge but also the ability to solve real-world problems through data-driven decision-making. Understanding concepts like classification, supervised learning, and probabilistic models equips learners with the foundation to explore advanced domains such as deep learning and AI.