Machine Learning For Dummies

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  • Engels
  • Paperback
  • 9781119724018
  • 08 april 2021
  • 464 pagina's
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Fun ways to work and play with new machine learning tools

What, exactly, is machine learning? How can you implement it, and which tools will you need? This book shows you how to build predictive models, detect anomalies, analyze text and images, and more. Machine learning makes all this possible. Dive into this exciting new technology with Machine Learning For Dummies, 2nd Edition. This even-friendlier new edition answers your questions — guiding you in learning essential programming and concepts from scratch! Here is the entry-level info you need to get up and running with machine learning.

Inside. . .

  • Intro to machine learning and AI
  • Big data and algorithms explained
  • Demystifying the math behind AI
  • Many best practice examples
  • Practical uses for machine learning
  • Real-world datasets
  • Ethical approaches to data use


  • One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021)

    Your comprehensive entry-level guide to machine learning

    While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more.

    Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study.

    • Understand the history of AI and machine learning
    • Work with Python 3.8 and TensorFlow 2.x (and R as a download)
    • Build and test your own models
    • Use the latest datasets, rather than the worn out data found in other books
    • Apply machine learning to real problems

    Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.

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    Taal
    en
    Bindwijze
    Paperback
    Oorspronkelijke releasedatum
    08 april 2021
    Aantal pagina's
    464
    Illustraties
    Nee

    Betrokkenen

    Hoofdauteur
    John Paul Mueller
    Tweede Auteur
    Luca Massaron
    Hoofduitgeverij
    For Dummies

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    2
    Extra groot lettertype
    Nee
    Product breedte
    185 mm
    Product hoogte
    31 mm
    Product lengte
    231 mm
    Studieboek
    Ja
    Verpakking breedte
    174 mm
    Verpakking hoogte
    37 mm
    Verpakking lengte
    233 mm
    Verpakkingsgewicht
    1249 g

    EAN

    EAN
    9781119724018

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