Bennett Machine Learning Mastery:

Build Real-World ML Projects with Python, Algorithms, and Data Science Fundamentals
1. Auflage 2025
ISBN: 978-3-8197-9653-1
Verlag: epubli
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 94 Seiten

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!

Self published Author specialized in the non-fiction category since 2019 with over 700 titles produced in different topics related to business, Health, Finances, and Relationships.

Autoren/Hrsg.

Bennett, Rachel