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 611+ copies sold, this essential read offers unparalleled insights into compute.

Why You'll Love It

  • Comprehensive coverage of ai
  • 14 chapters packed with practical advice
  • Perfect for beginners and experts alike
  • Includes illustrations

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Reader Reviews

4.5
★ ★ ★ ★ ★

Based on 12 reviews

5 stars (88%)
4 stars (19%)
3 stars (10%)
1-2 stars (2%)
Sarah Brown
Sarah Brown
★ ★ ★ ★ ★

May 29, 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 5 sections, each building thoughtfully on the last. Part 4's discussion of ai 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 some examples felt dated, but this doesn't detract from the overall quality. This will undoubtedly become a standard reference in the field.

Jennifer Williams
Jennifer Williams
★ ★ ★ ★ ★

April 27, 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 ai 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.

Michael Williams
Michael Williams
★ ★ ★ ★ ★

April 29, 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 ai 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.

Jennifer Miller
Jennifer Miller
★ ★ ★ ★ ★

May 11, 2025

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

Emily Garcia
Emily Garcia
★ ★ ★ ★ ☆

May 18, 2025

While Data Mining in 20 Minutes: (Coffee Book Series) makes several valuable points about ai, I found some aspects problematic. The author's treatment of ai seems oversimplified, particularly when compared to compute. 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.

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Community Discussions

Michael Smith
Discussion about compute in Data Mining in 20 Minutes: (Coffee Book Series)

Posted by Michael Smith on August 2, 2025

Can someone help me understand compute from chapter 12? I'm struggling to see how it connects to compute.

Michael Johnson

Michael Johnson August 4, 2025

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

Robert Rodriguez

Robert Rodriguez August 4, 2025

I completely agree! This was my experience as well.

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

Posted by Thomas Miller on August 4, 2025

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

Emily Smith

Emily Smith July 30, 2025

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

Emily Jones

Emily Jones July 29, 2025

This reminds me of a similar condept from somewhere.

Jennifer Miller

Jennifer Miller July 28, 2025

This reminds me of a similar condept from somewhere.

Robert Davis

Robert Davis August 3, 2025

I completely agree! This was my experience as well.

Thomas Jones

Thomas Jones July 29, 2025

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

Michael Smith
Discussion about ai in Data Mining in 20 Minutes: (Coffee Book Series)

Posted by Michael Smith on July 30, 2025

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

Thomas Jones

Thomas Jones July 27, 2025

I completely agree! This was my experience as well.

Robert Wilson

Robert Wilson July 24, 2025

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

Thomas Smith

Thomas Smith July 24, 2025

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

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

Posted by Lisa Garcia on July 14, 2025

Can someone help me understand compute from chapter 3? I'm struggling to see how it connects to compute.

Thomas Wilson

Thomas Wilson August 4, 2025

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

Jessica Garcia

Jessica Garcia August 1, 2025

This reminds me of a similar condept from somewhere.

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

Posted by Jennifer Smith on July 16, 2025

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

Jennifer Rodriguez

Jennifer Rodriguez July 26, 2025

I completely agree! This was my experience as well.

Sarah Davis

Sarah Davis July 31, 2025

I completely agree! This was my experience as well.