DOWNLOAD [PDF] {EPUB} The 9 Pitfalls of Data Science

The 9 Pitfalls of Data Science. Gary Smith, Jay Cordes

The 9 Pitfalls of Data Science


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ISBN: 9780198844396 | 272 pages | 7 Mb
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  • The 9 Pitfalls of Data Science
  • Gary Smith, Jay Cordes
  • Page: 272
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9780198844396
  • Publisher: Oxford University Press
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Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. The 9 Pitfalls of Data Science shows us real-world examples of what can go wrong. Written to be an entertaining read, this invaluable guide investigates the all too common mistakes of data scientists - who can be plagued by lazy thinking, whims, hunches, and prejudices - and indicates how they have been at the root of many disasters, including the Great Recession. Gary Smith and Jay Cordes emphasise how scientific rigor and critical thinking skills are indispensable in this age of Big Data, as machines often find meaningless patterns that can lead to dangerous false conclusions. The 9 Pitfalls of Data Science is loaded with entertaining tales of both successful and misguided approaches to interpreting data, both grand successes and epic failures. These cautionary tales will not only help data scientists be more effective, but also help the public distinguish between good and bad data science.

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Hinta: 30,30 €. sidottu, 2019. Kirja ei ole vielä ilmestynyt. Osta kirja The 9 Pitfalls of Data Science Gary Smith (ISBN 9780198844396) osoitteesta Adlibris.fi. The 9 Pitfalls of Data Science: Gary (Fletcher Jones Professor of
The 9 Pitfalls of Data Science shows us real-world examples of what can go wrong. Written to be an entertaining read, this invaluable guide investigates the all  AI Pitfalls and the Hidden Value of the 'Citizen Data Scientist'
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Learn about the five biggest mistakes companies make when they implement AI solutions, and how to avoid those pitfalls to achieve real ROI. The 9 Pitfalls of Data Science by Gary Smith, Jay - Google Play
The 9 Pitfalls of Data Science - Ebook written by Gary Smith, Jay Cordes. Read this book using Google Play Books app on your PC, android, iOS devices. Common data science pitfalls (article) - DataCamp
In this tutorial, you'll learn about some pitfalls you might experience when working on data science projects "in the wild". 9 pitfalls to avoid in building a successful machine learning program
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For this post, I will spend more time talking about the exciting possibilities that can be accomplished with data science rather than the pitfalls. Big data for managers: Data science + business analytics training
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