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
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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.
The 9 Pitfalls of Data Science - Google Books Result
Gary Smith, Jay Cordes - 2019 - Computers
Pitfalls junior data scientists might overlook? : datascience - Reddit
What are some other statistical pitfalls that are easy to overlook if one .. I'm not a data scientist but often work with them in app development.
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.
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The 9 Pitfalls of Data Science eBook: Gary Smith, Jay - Amazon.com
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
The 9 Pitfalls of Data Science by Cordes, Jay (Data Scientist
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
Data Science: Nature and Pitfalls - IEEE Computer Society
I also summarize common pitfalls about the concepts of data science, data . can understand.,Figure 2 shows empirically the data development gaps between
The 9 Pitfalls of Data Science - Gary Smith - Bok (9780198844396
Pris: 329 kr. Inbunden, 2019. Skickas inom 2-5 vardagar. Köp The 9 Pitfalls of Data Science av Gary Smith på Bokus.com.
Avoid these 4 common data science pitfalls - Reforge
This leads to four common pitfalls that data scientists encounter when solving . She explains: “I've found our processes run well for about 6-9 months before we
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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
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