Machine Learning
Reference documents in Machine Learning.
Documents in Machine Learning
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The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field.
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This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases.
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A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory. This book presents the foundations and latest advances of learning theory for graduate students as well as researchers who want to acquire a basic mathematical understanding of the most widely used machine learning architectures.
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This book offers an accessible, hands-on introduction to the core principles of machine learning, statistical modeling, and practical data science—without overwhelming readers with complex formulas or technical jargon.
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This open access book discusses multi-agent technologies (MATs) and machine learning (ML). These tools can be integrated and applied in industry, commerce, energy, medicine, psychology, and other areas.
