Data Mining and Machine Learning Essentials
Book Details
  • ISBN: 979-8874214982
  • Published: January 6, 2024
  • Categories: Books Computers & Technology Computer Science AI & Machine Learning Neural Networks
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Data Mining and Machine Learning Essentials

4.8
Average Rating
(128 reviews)
Editor's Choice: This book has been selected as one of our top recommendations for August 2025.

About This Book

Uncover the foundations of cutting-edge technologies with "Data Mining and Machine Learning Essentials." This book will take you on an illuminating journey through the intricate realms of data mining and machine learning, making complex concepts accessible and applicable. Master the essential principles, practical techniques, and real-world applications that form the backbone of these transformative fields. From understanding key terminology to navigating advanced algorithms, this book provides a roadmap for both beginners and seasoned professionals. Dive into the core concepts that drive data-driven decision-making and equip yourself with the skills needed to harness the power of data. Whether you're a novice looking to build a solid understanding or an expert seeking a comprehensive reference, this book is your go-to resource for mastering data mining and machine learning essentials.

Key Features

  • Comprehensive coverage of Books topics
  • Practical examples and real-world applications
  • Clear explanations suitable for beginners and experts
  • Latest trends and techniques in the field
  • Exercises and challenges to test your knowledge

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What Readers Are Saying

Robert Clark
Robert Clark

Computer Science Professor

This comprehensive work by the author, provides an exceptional examination of machine learning. The depth of analysis is particularly impressive, offering both theoretical frameworks and practical applications that will benefit readers at all levels of expertise. I highly recommend this book to anyone serious about mastering this subject.

Posted 2 days ago

User621

Verified Purchase

I completely agree with Robert Clark's review. This book exceeded my expectations!

Posted 8 days ago

Sophia Wilson
Sophia Wilson

Tech Journalist

This book changed how I think about machine learning. The author has a gift for making complex ideas feel simple and approachable. It's rare to find a technical book that's this enjoyable to read.

Posted 6 days ago

User919

Verified Purchase

I completely agree with Sophia Wilson's review. This book exceeded my expectations!

Posted 3 days ago

William Thompson
William Thompson

Book Blogger

A must-read for anyone interested in machine learning.

Posted 7 days ago

Robert Lee
Robert Lee

Computer Science Professor

As a scholar in the field of machine learning, I find this volume to be an indispensable resource. The author's treatment of complex topics is both rigorous and accessible, making it suitable for classroom use as well as independent study. I highly recommend this book to anyone serious about mastering this subject.

Posted 23 days ago

Robert Miller
Robert Miller

Education Specialist

I couldn't put this book down! As someone who's been working with machine learning for years, I still learned so much from reading this book, clear explanations and real-world examples. It's rare to find a technical book that's this enjoyable to read.

Posted 4 days ago

Frequently Asked Questions

Yes, Data Mining and Machine Learning Essentials is designed to be accessible to readers with varying levels of experience. The book starts with fundamental concepts and gradually progresses to more advanced topics, making it suitable for both beginners and experienced professionals looking to deepen their knowledge.

Absolutely! Each chapter includes hands-on exercises and challenges that allow you to apply what you've learned. These practical components are designed to reinforce the concepts and help you develop real-world skills.

Yes, Data Mining and Machine Learning Essentials is available in both print and digital formats. You can find the Kindle edition on Amazon along with the paperback version.