Data Mining and Machine Learning Essentials

About This Book

Data Mining and Machine Learning Essentials is a groundbreaking exploration of machine learning that has captivated readers worldwide. With 717+ copies sold, this masterpiece offers unparalleled insights into machine learning.

Why You'll Love It

• Comprehensive coverage of machine learning
• 14 chapters packed with cutting-edge research
• Perfect for academic study
• Includes case studies

In the News

Reader Reviews

Jennifer Brown

★ ★ ★ ★ ★

July 9, 2025

Fantastic book! Clear, concise, and packed with useful information about machine learning. Highly recommended!

Jennifer Jones

★ ★ ★ ☆ ☆

April 26, 2025

While Data Mining and Machine Learning Essentials makes several valuable points about machine learning, I found some aspects problematic. The author's treatment of machine learning seems oversimplified, particularly when compared to machine learning. That said, the sections on machine learning are genuinely insightful and make the book worth reading despite its flaws. With some refinement in machine learning, this could be a truly outstanding work.

Robert Brown

★ ★ ★ ★ ★

February 13, 2025

Data Mining and Machine Learning Essentials is a comprehensive exploration of machine learning that manages to be both accessible to newcomers and valuable to experts. The book is divided into 7 sections, each building thoughtfully on the last. Part 2's discussion of machine learning is particularly strong, with clear examples and practical applications. The diagrams and illustrations throughout help clarify complex ideas, and the chapter summaries are excellent for review. My only minor critique is that more primary sources would strengthen the argument, but this doesn't detract from the overall quality. This will undoubtedly become a standard reference in the field.

Jessica Williams

★ ★ ★ ★ ★

March 15, 2025

As a scholar in machine learning, I found Data Mining and Machine Learning Essentials to be an exceptional contribution to the field. The author's approach to machine learning is both innovative and rigorous, providing fresh insights that challenge conventional wisdom. Particularly noteworthy is the discussion of machine learning, which offers a compelling framework for understanding machine learning. While some may argue that machine learning, the evidence presented is thorough and convincing. This book is essential reading for anyone serious about machine learning.

Thomas Rodriguez

★ ★ ★ ★ ☆

February 28, 2025

As a scholar in machine learning, I found Data Mining and Machine Learning Essentials to be an exceptional contribution to the field. The author's approach to machine learning is both innovative and rigorous, providing fresh insights that challenge conventional wisdom. Particularly noteworthy is the discussion of machine learning, which offers a compelling framework for understanding machine learning. While some may argue that machine learning, the evidence presented is thorough and convincing. This book is essential reading for anyone serious about machine learning.

Discussion about machine learning in Data Mining and Machine Learning Essentials

Posted by Jessica Wilson on August 4, 2025

Discussion: What did everyone think of the author's treatment of machine learning? I found it more accessible compared to other works in the field.

James Rodriguez August 3, 2025

Could you elaborate on what you mean by this? I'm not sure I follow.

David Garcia July 29, 2025

I completely agree! This was my experience as well.

Jennifer Smith July 28, 2025

Could you elaborate on what you mean by this? I'm not sure I follow.

Lisa Wilson August 2, 2025

This reminds me of a similar condept from somewhere.

Discussion about machine learning in Data Mining and Machine Learning Essentials

Posted by Thomas Brown on July 11, 2025

Can someone help me understand machine learning from chapter 7? I'm struggling to see how it connects to machine learning.

Emily Smith August 3, 2025

I completely agree! This was my experience as well.

Thomas Smith July 23, 2025

To add to this, I found similar examples which seems to support your point.

Discussion about machine learning in Data Mining and Machine Learning Essentials

Posted by Jessica Jones on July 20, 2025

Can someone help me understand machine learning from chapter 10? I'm struggling to see how it connects to machine learning.

Robert Rodriguez July 25, 2025

Interesting perspective. I hadn't considered that angle before.

Lisa Miller July 29, 2025

To add to this, I found similar examples which seems to support your point.

Lisa Johnson July 29, 2025

This reminds me of a similar condept from somewhere.

Michael Garcia July 23, 2025

This reminds me of a similar condept from somewhere.

Discussion about machine learning in Data Mining and Machine Learning Essentials

Posted by Emily Williams on July 9, 2025

Discussion: What did everyone think of the author's treatment of machine learning? I found it more technical compared to other works in the field.

Michael Williams August 4, 2025

Interesting perspective. I hadn't considered that angle before.

Jessica Davis August 3, 2025

Could you elaborate on what you mean by this? I'm not sure I follow.

Sarah Wilson July 22, 2025

Could you elaborate on what you mean by this? I'm not sure I follow.

Discussion about machine learning in Data Mining and Machine Learning Essentials

Posted by Thomas Smith on July 7, 2025

Discussion: What did everyone think of the author's treatment of machine learning? I found it less convincing compared to other works in the field.

Thomas Brown July 30, 2025

This reminds me of a similar condept from somewhere.

James Brown July 24, 2025

Could you elaborate on what you mean by this? I'm not sure I follow.

Thomas Miller July 27, 2025

To add to this, I found similar examples which seems to support your point.

Michael Davis July 31, 2025

Interesting perspective. I hadn't considered that angle before.

Sarah Davis July 26, 2025

Could you elaborate on what you mean by this? I'm not sure I follow.