ISBN: 979-8874214982
Published: January 6, 2024
Categories: Books Computers & Technology Computer Science AI & Machine Learning Neural Networks
This comprehensive guide to machine learning provides readers with in-depth knowledge and practical skills. Whether you're a beginner or an experienced professional, this book will help you master Books.
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"This seminal work by esteemed authors provides a comprehensive examination of AI & Machine Learning. The theoretical framework presented in chapter 3 ..."
"The interdisciplinary approach to Computers & Technology demonstrated in this text bridges the gap between Computers & Technology and Neural Networks ..."
"After reading this, I finally understand machine learning! The examples about Neural Networks were so relatable and the exercises really helped cement..."
This seminal work by esteemed authors provides a comprehensive examination of AI & Machine Learning. The theoretical framework presented in chapter 3 particularly stands out as groundbreaking in the field of machine learning.
The interdisciplinary approach to Computers & Technology demonstrated in this text bridges the gap between Computers & Technology and Neural Networks in ways few other works have attempted.
After reading this, I finally understand machine learning! The examples about Neural Networks were so relatable and the exercises really helped cement the concepts.
My boss recommended this book when I was struggling with machine learning at work. Two weeks later, I was implementing Neural Networks solutions that impressed the whole team!
As a professor of Computer Science, I find this volume to be an indispensable resource for both undergraduate and graduate students. The treatment of Computers & Technology is particularly thorough and well-researched.
This is a comment about the book. I particularly liked the parts about machine learning. Would recommend to anyone interested in Neural Networks!
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December 15, 2025This is a nested (level 1) comment about the book. I particularly liked the parts about machine learning. Would recommend to anyone interested in Computer Science!