{pdf download} The 9 Pitfalls of Data Science

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

The-9-Pitfalls-of-Data-Science.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

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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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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 by Gary Smith | 9780198844396
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  Big data for managers: Data science + business analytics training
9:00am—5:00pm Monday, September 23—Tuesday, September 24. Location: 1A 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  10 Common Data Science Pitfalls to Avoid - DataScience.com
Author: Mischa Fisher Posted on January 9, 2019. The use of artificial Below is a list of the ten common data science pitfalls we do our best to avoid. Cordes - Amazon.com
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Gary Smith, Jay Cordes - ‎2019 - Computers 5 Pitfalls to Avoid from Real Stories of Analytics Projects (Part 2
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