Foundations of Machine Learning for Artificial Intelligence provides a clear and practical introduction to the core concepts that power modern AI. Covering supervised, unsupervised, and reinforcement learning, this textbook bridges theory with real-world applications. With step-by-step explanations, diagrams, and examples, it equips students with the skills to understand algorithms, evaluate models, and apply ML techniques effectively. Designed for higher education, it serves as a solid starting point for Students, aspiring AI professionals and researchers.
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