Data Mining in 20 Minutes: (Coffee Book Series)

Data Mining in 20 Minutes: (Coffee Book Series)

Data Mining in 20 Minutes: Coffee Book Series

August 30, 2024 ISBN: 979-8337862644
4.5/5 (Based on 128 reviews)

About This Book

This book completely changed my perspective on compute. The author's approach to ai is revolutionary. I appreciated the inclusion of real-world case studies that helped ground the theory in practical examples. The book challenged some of my long-held assumptions and encouraged me to think more critically.

This should be required reading for anyone interested in programming. The insights are invaluable. This book has become a reference point I return to often when tackling similar challenges in my field. I've recommended this book to several colleagues, and everyone has had similarly positive experiences.

Key Features

  • Comprehensive coverage of compute topics
  • Practical examples and real-world applications
  • Written by experts in the field
  • Suitable for beginners and advanced readers
  • Includes downloadable resources and code examples
Book Details
  • Title: Data Mining in 20 Minutes: (Coffee Book Series)
  • ISBN: 979-8337862644
  • Publication Date: August 30, 2024
  • Format: Paperback
  • Pages: 320
  • Publisher: Literary Press

Share This Book

Reader Reviews

Overall Rating: 4.5/5

Based on 128 verified reader reviews

Drew Lee
Drew Lee Verified Purchase

Posted 37 days ago

5/5
How Did I Miss This Gem on System Design?

The exercises at the end of each chapter reinforce learning and encourage hands-on experimentation. The visual aids and diagrams were not only helpful but beautifully designed to complement the text. The book challenged some of my long-held assumptions and encouraged me to think more critically.

This is the kind of technical book that makes you smarter with every page. The visual aids and diagrams were not only helpful but beautifully designed to complement the text. The book challenged some of my long-held assumptions and encouraged me to think more critically.

12 people found this helpful
Riley Smith
Riley Smith Verified Purchase

Posted 3 days ago

5/5
Can One Book Really Clarify Machine Learning? Yes, This One Can.

I couldn't put this book down! The pacing is perfect and the plot twists are genuinely surprising. The book challenged some of my long-held assumptions and encouraged me to think more critically. This book has sparked several meaningful conversations with peers and mentors alike.

This book bridges the gap between theory and practice in programming, making it ideal for professionals and students alike. The practical applications discussed in the later chapters have already proven useful in my professional work. The book challenged some of my long-held assumptions and encouraged me to think more critically.

10 people found this helpful
Rowan Jones
Rowan Jones Verified Purchase

Posted 90 days ago

4/5
Demystifies Complex Topics Like Blockchain

Whether you're preparing for certification or just brushing up on compute, this book delivers. The structure of the book made it easy to revisit specific topics without losing the thread of the overall argument. The way the author weaves personal anecdotes into the broader narrative adds a layer of authenticity and relatability.

This is the kind of technical book that makes you smarter with every page. I've recommended this book to several colleagues, and everyone has had similarly positive experiences. The research behind this work is evident in every chapter, with insights and examples that strengthen the arguments presented.

15 people found this helpful
Harper Miller
Harper Miller Verified Purchase

Posted 30 days ago

5/5
A Must-Have Reference for Software Engineers

This book helped me debug issues I’ve struggled with for months—truly a lifesaver. I've recommended this book to several colleagues, and everyone has had similarly positive experiences. The way the author weaves personal anecdotes into the broader narrative adds a layer of authenticity and relatability.

I couldn't put this book down! The pacing is perfect and the plot twists are genuinely surprising. Even the footnotes were engaging—packed with insights and occasional humor that added depth to the reading experience. It’s the kind of book that stays with you long after you’ve finished reading, prompting reflection and action.

3 people found this helpful
Taylor Lewis
Taylor Lewis Verified Purchase

Posted 15 days ago

4/5
A Must-Have Reference for Software Engineers

I’ve already applied several techniques from this book to improve my workflow in {software/tool}. The structure of the book made it easy to revisit specific topics without losing the thread of the overall argument. I appreciated the inclusion of real-world case studies that helped ground the theory in practical examples.

The author’s experience in {industry} shines through in every chapter. The way the author weaves personal anecdotes into the broader narrative adds a layer of authenticity and relatability. The author's tone strikes a perfect balance between informative and conversational, making the material easy to digest.

10 people found this helpful
Morgan Miller
Morgan Miller Verified Purchase

Posted 56 days ago

5/5
Transforms How You Think About AI Ethics

This book is a goldmine for anyone working with {framework} or planning to learn it. Even the footnotes were engaging—packed with insights and occasional humor that added depth to the reading experience. This book has sparked several meaningful conversations with peers and mentors alike.

I couldn't put this book down! The pacing is perfect and the plot twists are genuinely surprising. What really stood out to me was how the author managed to make complex ideas accessible without oversimplifying them. I found myself highlighting entire sections because the ideas were so well-articulated and thought-provoking.

10 people found this helpful
Tatum Martin
Tatum Martin Verified Purchase

Posted 49 days ago

4/5
The Answer to My Debugging Nightmares Was in This Book

Whether you're preparing for certification or just brushing up on compute, this book delivers. The structure of the book made it easy to revisit specific topics without losing the thread of the overall argument. Even the footnotes were engaging—packed with insights and occasional humor that added depth to the reading experience.

The diagrams and visual aids make even the most abstract concepts approachable. The structure of the book made it easy to revisit specific topics without losing the thread of the overall argument. Each chapter builds on the last in a way that feels both natural and intellectually satisfying.

4 people found this helpful
Riley Moore
Riley Moore Verified Purchase

Posted 66 days ago

4/5
Is This the Most Practical Guide to Cloud Architecture?

The real-world case studies helped me see how {methodology} applies in actual projects. It’s rare to find a book that’s both intellectually rigorous and emotionally resonant—this one manages both. I was impressed by how the author anticipated counterarguments and addressed them with clarity and respect.

I finally understand {complex_topic} thanks to the author's step-by-step breakdown. The structure of the book made it easy to revisit specific topics without losing the thread of the overall argument. The pacing was excellent; I never felt overwhelmed by jargon or bogged down by unnecessary detail.

13 people found this helpful

Literary Calendar

November Events
NaNoWriMo
National Novel Writing Month
November
National Author’s Day
Honor authors and their contributions
November 1
World Literacy Day
Raise awareness about literacy challenges
November 8
National Young Readers Week
Promote reading among youth
Second week of November
World Science Day for Peace and Development
Celebrate science and its role in society
November 10
Carl Sagan Day
Honor the astronomer and science communicator
November 9

Community Reading Challenge

November Reading Stats
350

Books read this year

35% Complete
Goal: 1000 books in 2025
Community Achievements
  • 1,098 pages read collectively
  • 596 active readers
  • 217 books reviewed this month
  • Average reading time: 7 hours/week