Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype By: Douglas Gray, Evan Shellshear | Ebooks_-_Computer_FInternet | PDF | 3.79 MiB
| ISBN: 9781040126295 | English
Author: Douglas Gray, Evan Shellshear
The field of artificial intelligence, data science, and analytics is crippling itself. Exaggerated promises of unrealistic technologies, simplifications of complex projects, and marketing hype are leading to an erosion of trust in one of our most critical approaches to making data driven.
This book aims to fix this by countering the AI hype with a dose of realism. Written by two experts in the field, the authors firmly believe in the power of mathematics, computing, and analytics, but if false expectations are set and practitioners and leaders don’t fully understand everything that really goes into data science projects, then a stunning 80
3.8M Why_Data_Science_Projects_Fail.pdf 3.8M total
Keywords: Why, Data, Science, Projects, Fail, The, Harsh, Realities, Implementing, and, Analytics, without, the, Hype, Douglas, Gray, Evan, ShellshearDownload from Nitroflare
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