Data Mining in 20 Minutes: (Coffee Book Series)
Data Mining in 20 Minutes: (Coffee Book Series)
Data Mining in 20 Minutes: (Coffee Book Series)
Data Mining in 20 Minutes: (Coffee Book Series)
Book Details
  • ISBN: 979-8337862644
  • Published: August 30, 2024
  • Categories: Books Computers & Technology Web Development & Design Programming JavaScript
Editors Choice

Data Mining in 20 Minutes: (Coffee Book Series)

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About This Book

Data Mining in 20 Minutes: (Coffee Book Series) is a groundbreaking exploration of compute that has captivated readers worldwide. With 1697+ copies sold, this masterpiece offers thought-provoking insights into compute.

Why You'll Love It

  • Comprehensive coverage of compute
  • 15 chapters packed with fascinating theories
  • Perfect for professionals in the field
  • Includes companion website access

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Reader Reviews

4.8
★ ★ ★ ★ ★

Based on 12 reviews

5 stars (79%)
4 stars (11%)
3 stars (2%)
1-2 stars (4%)
James Garcia
James Garcia
★ ★ ★ ★ ☆

July 30, 2025

While Data Mining in 20 Minutes: (Coffee Book Series) makes several valuable points about compute, I found some aspects problematic. The author's treatment of compute seems oversimplified, particularly when compared to ai. That said, the sections on ai are genuinely insightful and make the book worth reading despite its flaws. With some refinement in compute, this could be a truly outstanding work.

Jessica Rodriguez
Jessica Rodriguez
★ ★ ★ ★ ★

April 21, 2025

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

Emily Jones
Emily Jones
★ ★ ★ ★ ☆

April 11, 2025

As a scholar in compute, I found Data Mining in 20 Minutes: (Coffee Book Series) to be an exceptional contribution to the field. The author's approach to compute is both innovative and rigorous, providing fresh insights that challenge conventional wisdom. Particularly noteworthy is the discussion of compute, which offers a compelling framework for understanding compute. While some may argue that compute, the evidence presented is thorough and convincing. This book is essential reading for anyone serious about compute.

Robert Wilson
Robert Wilson
★ ★ ★ ★ ★

May 8, 2025

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

Robert Davis
Robert Davis
★ ★ ★ ★ ★

June 9, 2025

Data Mining in 20 Minutes: (Coffee Book Series) is a comprehensive exploration of compute that manages to be both accessible to newcomers and valuable to experts. The book is divided into 8 sections, each building thoughtfully on the last. Part 4's discussion of compute 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.

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Community Discussions

James Brown
Discussion about ai in Data Mining in 20 Minutes: (Coffee Book Series)

Posted by James Brown on July 9, 2025

Just finished Data Mining in 20 Minutes: (Coffee Book Series) for the 7 time and picked up on so many new insights! The depth of research on compute is incredible.

Robert Williams

Robert Williams July 28, 2025

I completely agree! This was my experience as well.

Lisa Miller

Lisa Miller August 1, 2025

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

Jennifer Smith

Jennifer Smith July 28, 2025

I completely agree! This was my experience as well.

Jessica Rodriguez
Discussion about compute in Data Mining in 20 Minutes: (Coffee Book Series)

Posted by Jessica Rodriguez on July 12, 2025

Has anyone else noticed how Data Mining in 20 Minutes: (Coffee Book Series) relates to ai? I was reading about ai and it made me think of chapter 2.

Robert Brown

Robert Brown July 21, 2025

I completely agree! This was my experience as well.

Thomas Wilson

Thomas Wilson August 1, 2025

I completely agree! This was my experience as well.

Michael Rodriguez

Michael Rodriguez July 25, 2025

I completely agree! This was my experience as well.

Robert Garcia
Discussion about ai in Data Mining in 20 Minutes: (Coffee Book Series)

Posted by Robert Garcia on July 29, 2025

Has anyone else noticed how Data Mining in 20 Minutes: (Coffee Book Series) relates to compute? I was reading about compute and it made me think of chapter 8.

David Garcia

David Garcia August 1, 2025

This reminds me of a similar condept from somewhere.

David Wilson

David Wilson August 3, 2025

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

Robert Davis

Robert Davis July 22, 2025

This reminds me of a similar condept from somewhere.

James Rodriguez

James Rodriguez July 28, 2025

This reminds me of a similar condept from somewhere.

Sarah Wilson
Discussion about compute in Data Mining in 20 Minutes: (Coffee Book Series)

Posted by Sarah Wilson on July 24, 2025

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

Thomas Wilson

Thomas Wilson July 26, 2025

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

David Davis

David Davis July 21, 2025

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

David Smith

David Smith July 26, 2025

I completely agree! This was my experience as well.

Jennifer Miller
Discussion about ai in Data Mining in 20 Minutes: (Coffee Book Series)

Posted by Jennifer Miller on July 26, 2025

I've been applying the principles from Data Mining in 20 Minutes: (Coffee Book Series) to my work in compute and seeing amazing results! Specifically, the part about ai has been transformative.

David Davis

David Davis July 31, 2025

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

James Rodriguez

James Rodriguez July 21, 2025

I completely agree! This was my experience as well.

Michael Williams

Michael Williams August 4, 2025

This reminds me of a similar condept from somewhere.