Luca Massaron
Algorithms For Dummies
Ebook (EPUB Format)
Relate algorithms to real-world uses Develop skills for using algorithms Learn to use Python® to test how algorithms work Wrap your mind around algorithms You don't need a PhD to make sense of algorithms. This clear and accessible guide shows you how algorithms influence our daily lives-from online interactions to in-person exchanges. They are also extremely important when it comes to making decisions of all sorts. If you want to know how to use problem-solving procedures in the real world, Algorithms For Dummies is an enlightening introduction to this fascinating, pervasive realm. Inside ? Perform data manipulation Consider algorithm des…
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Beschreibung
Relate algorithms to real-world uses Develop skills for using algorithms Learn to use Python® to test how algorithms work Wrap your mind around algorithms You don't need a PhD to make sense of algorithms. This clear and accessible guide shows you how algorithms influence our daily lives-from online interactions to in-person exchanges. They are also extremely important when it comes to making decisions of all sorts. If you want to know how to use problem-solving procedures in the real world, Algorithms For Dummies is an enlightening introduction to this fascinating, pervasive realm. Inside ? Perform data manipulation Consider algorithm design Learn the history of algorithms Grasp graph basics Manage big data Reduce complex algorithms Guide a robot in a maze Program your own algorithm Visit the companion website at www.dummies.com/go/algorithmsfd to download all the source code for the examples in this book.
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Produktdetails
Weitere Autoren: Mueller, John Paul
- ISBN: 978-1-119-33053-0
- EAN: 9781119330530
- Produktnummer: 25434887
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 432 S.
- Plattform: EPUB
- Masse: 2'466 KB
Über den Autor
John Paul Mueller has produced 102 books and more than 600 articles to date on topics ranging from networking to machine learning. Luca Massaron is a data scientist specializing in organizing and interpreting big data and transforming it into smart data by means of the simplest and most effective data mining and machine learning techniques.
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