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Principles of Machine Learning by Wenmin Wang (.ePUB)+

Posted March 11Mar 11

Legendary Reader

📮 Principles of Machine Learning by Wenmin Wang (.ePUB)+

Conducting an in-depth analysis of Machine Learning, this book proposes three perspectives for studying Machine Learning: the learning frameworks, learning paradigms, and learning tasks. With this categorization, the learning frameworks reside within the theoretical perspective, the learning paradigms pertain to the methodological perspective, and the learning tasks are situated within the problematic perspective. Throughout the book, a systematic explication of Machine Learning principles from these three perspectives is provided, interspersed with some examples. This book provides a multi-dimensional and systematic interpretation of Machine Learning, rendering it suitable as a textbook reference for senior undergraduates or graduate students pursuing studies in Artificial Intelligence, Machine Learning, Data Science, Computer Science, and related disciplines. Additionally, it serves as a valuable reference for those engaged in scientific research and technical endeavors within the realm of Machine Learning.