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Data Mining in 20 Minutes Coffee Book Series

By Kenwright

Data Mining in 20 Minutes provides a fresh and engaging entry point into one of the most dynamic areas of modern tech.

WHAT THE PUBLISHER HIGHLIGHTS

  • Master practical coding skills.
  • Explore real-world projects.
  • Accelerate your learning curve.

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Catalogue reference: 9d407c38235d998c

INSIDE THE BOOK

About this book

Data Mining in 20 Minutes Coffee Book Series offers a comprehensive and in-depth guide that walks you through the concepts, applications, and best practices. With a strong focus on hands-on examples and real-world relevance, it empowers you to not just learn the theory but to apply it in meaningful ways across graphics, compute, and more.

From the publisher’s description

  • Master practical coding skills.
  • Explore real-world projects.
  • Accelerate your learning curve.
  • Demystify advanced technical topics.

Explore the topics

ANOTHER PERSPECTIVE

Readers, in their own words

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Reader review4

Well worth picking up

Good book. The writing is direct and the author is honest about limits.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The chapters on javascript are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. There is a section near the end that ties several earlier ideas together in a way I had not seen before. Solid, and I would buy another book from this author without hesitation.

Iris JonesRetired engineer · Buenos Aires, AR
Data Mining in 20 Minutes (Coffee Book Series)
Reader review5

Clear, thorough, and genuinely useful

Worth every page. I have already recommended it to two colleagues.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. The author clearly knows the subject deeply and has thought hard about how to teach it. I particularly liked the way the author builds up from simple cases before introducing the harder material. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

Peter WardFreelance developer · Copenhagen, DK
Data Mining in 20 Minutes (Coffee Book Series)

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