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Machine Learning Mastery:

Build Real-World ML Projects with Python, Algorithms, and Data Science Fundamentals
автор
Rachel Bennett
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О книге

Machine Learning Mastery

Unlock the full power of machine learning and take your skills from beginner to advanced with a guide that blends foundational knowledge with future-facing insight. This comprehensive book is designed for those who are not satisfied with surface-level understanding. Whether you're just stepping into the world of algorithms or refining your ability to build intelligent systems, this book is crafted to support your evolution into a true machine learning practitioner.


From the math behind the models to ethical deployment in real-world environments, Machine Learning Mastery offers more than technical walkthroughs—it gives you the clarity and depth needed to think critically, adapt confidently, and build responsibly. With real examples, modern tools, and clear explanations, this book empowers you to understand the why behind every model, not just the how.


Inside This Book, You'll Discover:


The Foundations: Data, Algorithms, and Models


Supervised Learning Demystified


Understanding Neural Networks and Deep Learning


Feature Engineering: Turning Data into Gold


Overfitting, Underfitting, and the Bias-Variance Tradeoff


Deploying Machine Learning Models in Production


Ethics and Bias in Machine Learning


Whether you're pursuing a career in AI, enhancing your current work, or preparing to innovate in a world powered by data, this book provides the roadmap. Each chapter builds on the last to help you make thoughtful, informed, and high-impact decisions with machine learning.


Scroll Up and Grab Your Copy Today!

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Возрастное ограничение:
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Дата выхода на Литрес:
13 августа 2025
Объем:
100 стр.
ISBN:
9783819796531
Издатель:
Правообладатель:
Bookwire