Data-Driven Decisions: An Introduction to ML by Nandini K (.ePUB)+

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File Size: 10.2 MB

Data-Driven Decisions: An Introduction to Machine Learning by Nandini K
Requirements: .ePUB, .PDF reader, 10.2 MB
Overview: Data-Driven Decisions: An Introduction to Machine Learning provides a comprehensive and accessible introduction to the principles and applications of Machine Learning for students, professionals, and decision-makers. Combining theoretical foundations with practical examples, this book guides readers through key concepts such as supervised and unsupervised learning, feature engineering, model evaluation, and interpretability. With a focus on how Machine Learning drives informed, data-driven decision-making across industries, the text balances technical depth with clarity. Through case studies, hands-on exercises, and discussions on ethical considerations, this book equips readers with the tools to apply Machine Learning effectively in solving real-world problems.
Genre: Non-Fiction > Tech & Devices

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