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

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

The 9 Pitfalls of Data Science

Download books to ipod kindle The 9 Pitfalls of Data Science by Gary Smith, Jay Cordes 9780198844396

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 by Gary Smith, 9780198844396, available at Book Depository with free delivery worldwide. Three Popular Ways to Fail with Data Science: How to Overcome
May 8–9, 2017 — UC Berkeley Popular Ways to Fail with Data Science: How to Overcome Common Pitfalls on Silicon Valley Data Science. Breakfast Event - 'The Pitfalls of Data Science' | Meetup
Breakfast Event - 'The Pitfalls of Data Science'. Phil B. Phil B. Hosted by . Data Science Melbourne. See more events Thu, Jun 27, 9:00 AM. Work, Life and  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. Top 10 Data Science Practioner Pitfalls - Mark Landry - SlideShare
Example: ICD-9 codes — thousands of unique diagnostic and 9 of 10 Top 10 Data Science Practitioner Pitfalls Useless Models; 21. 9. The 9 Pitfalls of Data Science - Smith, Gary; Cordes, Jay; - Prospero
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  Big Data | 7 Pitfalls | Strategies for Big Data Success
How do you achieve success with Big Data and avoid pitfalls? The data scientist is in high demand right now, but often, companies are  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; 

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