Machine Learning Foundations and Applications (Paperback)

Jarrel E.

ISBN 13: 9798231376452

Editore: Jarrel E., 2025

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Paperback. Master the algorithms powering today's AI revolution. This practical guide breaks down the foundations of machine learning into clear, structured lessons-covering supervised learning, unsupervised learning, and reinforcement learning.Whether you're a student, developer, or data professional, you'll learn how real-world models like linear regression, neural networks, support vector machines, PCA, and Q-learning actually work-mathematically and computationally.This book blends theory with implementation, offering step-by-step explanations, intuitive insights, and practical tools for applying machine learning in business, research, and product development.If you're serious about learning machine learning, this is the book that takes you from first principles to advanced concepts-with clarity, depth, and purpose. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Dati bibliografici

• Titolo: Machine Learning Foundations and Applications (Paperback)
• Editore: Jarrel E.
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798231376452
• Rilegatura: Paperback
• Condizione: new

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Riassunto

Master the algorithms powering today's AI revolution. This practical guide breaks down the foundations of machine learning into clear, structured lessons-covering supervised learning, unsupervised learning, and reinforcement learning.

Whether you're a student, developer, or data professional, you'll learn how real-world models like linear regression, neural networks, support vector machines, PCA, and Q-learning actually work-mathematically and computationally.

This book blends theory with implementation, offering step-by-step explanations, intuitive insights, and practical tools for applying machine learning in business, research, and product development.

If you're serious about learning machine learning, this is the book that takes you from first principles to advanced concepts-with clarity, depth, and purpose.