Foundations: What Learning Really Means : Thinking Before Algorithms (Deep Roots: Machine Learning from First Principles An 8-book masterclass that teaches not just how models work 1)
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Foundations: What Learning Really Means : Thinking Before Algorithms (Deep Roots: Machine Learning from First Principles An 8-book masterclass that teaches not just how models work 1)

by Ravindra Nayak

artificial intelligence Machine Learning technology education
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Foundations: What Learning Really Means begins an eight-book masterclass on machine learning from first principles. Rather than starting with algorithms alone, this volume focuses on the deeper question of what learning means, offering a conceptual foundation for understanding how models work.

About This Book

Foundations: What Learning Really Means examines the idea of learning before turning to algorithms.

As the first volume in the Deep Roots series, it presents a first-principles approach to machine learning.

The book focuses on thinking, foundations, and the meaning of learning itself.

It is designed as part of an eight-book masterclass on how models work from the ground up.

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I will be using this book for: