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Machine Learning For Absolute Beginners

af Hilda Beaman
Machine Learning For Absolute Beginners af Hilda Beaman
Bag om Machine Learning For Absolute Beginners

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile? Well, hold on there... Before you embark on your journey, there are some high-level theory and statistical principles to weave through first. But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations. Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781806308385
  • Indbinding:
  • Hardback
  • Sideantal:
  • 272
  • Udgivet:
  • 28. februar 2023
  • Størrelse:
  • 157x19x235 mm.
  • Vægt:
  • 551 g.
  • 8-11 hverdage.
  • 13. december 2024
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Forlænget returret til d. 31. januar 2025

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Beskrivelse af Machine Learning For Absolute Beginners

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?
Well, hold on there...
Before you embark on your journey, there are some high-level theory and statistical principles to weave through first.
But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations.
Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy to follow along at home.

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