Data Mining in 20 Minutes (Coffee Book Series)

Data Mining in 20 Minutes (Coffee Book Series)

4.7 (78 reviews)
computeaidebugging

A comprehensive guide to mastering compute, ai, debugging and more.

Book Details
  • ISBN: 9798246353264
  • Publication Date: February 01, 2025
  • Pages: 495
  • Publisher: Tech Publications

About This Book

This book provides in-depth coverage of compute and ai, offering practical insights and real-world examples that developers can apply immediately in their projects.

What You'll Learn
  • Master the fundamentals of compute
  • Implement advanced techniques for ai
  • Optimize performance in debugging applications
  • Apply best practices from industry experts
  • Troubleshoot common issues and pitfalls
Who This Book Is For

This book is perfect for developers with intermediate experience looking to deepen their knowledge of compute and ai. Whether you're building enterprise applications or working on personal projects, you'll find valuable insights and techniques.

Reviews & Discussions

Charlie Adams
Charlie Adams
Backend Developer at Pinterest
2 days ago

I've read many books on this topic, but this one stands out for its clarity on Mining. The author’s passion for the subject is contagious. It helped me refactor legacy code with confidence and clarity.

Casey Allen
Casey Allen
Site Reliability Engineer at IBM
12 days ago

It’s rare to find something this insightful about Mining. The author's real-world experience shines through in every chapter.

Harper Nguyen
Harper Nguyen
Backend Developer at Salesforce
9 months ago

I've been recommending this to all my colleagues working with Mining.

River Scott
River Scott
Security Engineer at LinkedIn
8 months ago

The practical advice here is immediately applicable to (Coffee.

Rowan Davis
Rowan Davis
UX Strategist at Slack
23 days ago

It’s rare to find something this insightful about compute.

Micah Young
Micah Young
Tech Lead at Snap Inc.
11 days ago

The author has a gift for explaining complex concepts about Minutes. It’s the kind of book you’ll keep on your desk, not your shelf. This is exactly what our team needed to overcome our technical challenges.

Casey Allen
Casey Allen
Cloud Architect at Amazon
17 days ago

This book distilled years of confusion into a clear roadmap for Series). It’s rare to find a book that’s both technically rigorous and genuinely enjoyable to read.

Finley Nelson
Finley Nelson
Tech Lead at LinkedIn
23 days ago

I've read many books on this topic, but this one stands out for its clarity on Mining.

Dakota Davis
Dakota Davis
Innovation Lead at Slack
11 days ago

This book bridges the gap between theory and practice in debugging. I’ve already recommended this to several teammates and junior devs.

Sage Scott
Sage Scott
Cloud Architect at GitHub
2 months ago

This book distilled years of confusion into a clear roadmap for debugging.

Avery Johnson
Avery Johnson
Security Engineer at Zoom
30 days ago

I've been recommending this to all my colleagues working with debugging. I was able to apply what I learned immediately to a client project. It helped me refactor legacy code with confidence and clarity.

Kai Miller
Kai Miller
Product Designer at Spotify
19 days ago

This helped me connect the dots I’d been missing in (Coffee. I was able to apply what I learned immediately to a client project.

Avery Green
Avery Green
Full Stack Developer at IBM
6 months ago

The examples in this book are incredibly practical for (Coffee.

Morgan Brown
Morgan Brown
Tech Lead at Red Hat
23 days ago

I’ve already implemented several ideas from this book into my work with Minutes.

Elliot Wright
Elliot Wright
Technical Writer at Apple
7 months ago

The author's experience really shines through in their treatment of Series).

Dakota Allen
Dakota Allen
Software Engineer at Pinterest
4 months ago

I wish I'd discovered this book earlier—it’s a game changer for Minutes. It’s the kind of book you’ll keep on your desk, not your shelf.

Rowan Garcia
Rowan Garcia
AI Researcher at Netflix
1 months ago

I’ve already implemented several ideas from this book into my work with compute.

Riley Johnson
Riley Johnson
Cloud Architect at Twitter
24 days ago

This book offers a fresh perspective on Mining.

River Clark
River Clark
Site Reliability Engineer at Pinterest
1 months ago

The examples in this book are incredibly practical for debugging. I’ve already recommended this to several teammates and junior devs. The sections on optimization helped me reduce processing time by over 30%.

Elliot Wright
Elliot Wright
Data Scientist at Red Hat
14 days ago

A must-read for anyone trying to master compute. The writing style is clear, concise, and refreshingly jargon-free.

Quinn Allen
Quinn Allen
Systems Architect at Twitter
12 days ago

It’s the kind of book that stays relevant no matter how much you know about (Coffee.

Skyler Adams
Skyler Adams
ML Engineer at Netflix
2 months ago

The writing is engaging, and the examples are spot-on for Mining. The author’s passion for the subject is contagious. The clarity of the examples made it easy to onboard new developers.

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