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

The-9-Pitfalls-of-Data.pdf
ISBN: 9780198844396 | 272 pages | 7 Mb

• The 9 Pitfalls of Data Science
• Gary Smith, Jay Cordes
• Page: 272
• Format: pdf, ePub, fb2, mobi
• ISBN: 9780198844396
• Publisher: Oxford University Press

Download ebook italiano The 9 Pitfalls of Data Science 9780198844396 by Gary Smith, Jay Cordes (English literature)

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.

Title: The 9 Pitfalls of Data Science Authors: Gary Smith and Jay
Title: The 9 Pitfalls of Data Science. Authors: Gary Smith and Jay Cordes. Table of Contents: 1 Using bad data; 2 Putting data before theory; 3 Worshiping math;  Data Migrations – Top 7 Pitfalls to avoid - Data Science Central
There are common pitfalls that, once identified and properly addressed, will pave the road for a less painful Data Migration Project. The 9 Pitfalls of Data Science (English Edition) eBook - Amazon
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   5 Pitfalls to Avoid from Real Stories of Analytics Projects (Part 2
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The 9 Pitfalls of Data Science, Smith, Gary; Cordes, Jay; : , 272 pages; The 9 Pitfalls of Data Science is loaded with entertaining tales of both successful and  The 9 Pitfalls of Data Science - Gary Smith; Jay Cordes - Oxford
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  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". The 9 Pitfalls of Data Science - Gary Smith, Jay Cordes - Google
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 

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