🌟 Editor's Choice: WebGL+GLSL/Graphics/Compute All-in-One (Paperback)    |    📚 99 books available - Expand your knowledge today!    |    ⏳ Only 0 days until SIGGRAPH!    |    💡 Today's Tip: One man's constant is another man's variable.    |    🔥 Hot News: I watched The RIP on Netflix — Ben Affleck and Matt Damon's new movie commits too many crimes to be considered a genre great
LIMITED TIME OFFER: Get 20% off when you buy today!
Data Mining and Machine Learning Essentials
EDITOR'S CHOICE
Book Details

ISBN: 979-8874214982

Published: January 6, 2024

Categories: Books Computers & Technology Computer Science AI & Machine Learning Neural Networks

Related Keywords
machine learning

Data Mining and Machine Learning Essentials

Secure Purchase
Fast Delivery
Easy Returns
24/7 Support
About This Book

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.

What You'll Learn:
  • Master machine learning techniques
  • Practical real-world examples
  • Best practices from industry experts
Gallery
Customer Reviews
Overall Rating
4.8
(42 reviews)
Review Highlights
All Reviews
Reviewer
TechReader42
September 23, 2025

The best machine learning book I've read this year.

Reviewer
Mike T.
February 18, 2025

After reading this, I finally understand machine learning! The examples about machine learning were so relatable and the exercises really helped cement the concepts.

Personal Experience
Reviewer
Sarah K.
November 28, 2025

My boss recommended this book when I was struggling with Neural Networks at work. Two weeks later, I was implementing machine learning solutions that impressed the whole team!

Personal Experience
Reviewer
Prof. James Wilson
April 19, 2025

As a professor of machine learning, I find this volume to be an indispensable resource for both undergraduate and graduate students. The treatment of Books is particularly thorough and well-researched.

Academic Review
Reviewer
Prof. James Wilson
May 5, 2025

This seminal work by esteemed authors provides a comprehensive examination of Computers & Technology. The theoretical framework presented in chapter 3 particularly stands out as groundbreaking in the field of Computers & Technology.

Academic Review
See All Reviews (42)
Community Discussion
Start a Discussion
Recent Discussions
User
.
January 15, 2026

This is a comment about the book. I particularly liked the parts about machine learning. Would recommend to anyone interested in AI & Machine Learning!

Reply
User
.
December 31, 2025

This is a nested (level 1) comment about the book. I particularly liked the parts about machine learning. Would recommend to anyone interested in AI & Machine Learning!

User
.
January 15, 2026

This is a nested (level 1) comment about the book. I particularly liked the parts about machine learning. Would recommend to anyone interested in Computers & Technology!

User
.
December 19, 2025

This is a comment about the book. I particularly liked the parts about machine learning. Would recommend to anyone interested in Computer Science!

Reply
User
.
December 24, 2025

This is a nested (level 1) comment about the book. I particularly liked the parts about machine learning. Would recommend to anyone interested in Books!

User
.
January 5, 2026

This 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!

User
.
December 21, 2025

This is a comment about the book. I particularly liked the parts about machine learning. Would recommend to anyone interested in Computers & Technology!

Reply
User
.
January 15, 2026

This is a nested (level 1) comment about the book. I particularly liked the parts about machine learning. Would recommend to anyone interested in Computers & Technology!

User
.
December 30, 2025

This 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!

See All Discussions (24)