Why Data Science Projects Fail is popular PDF and ePub book, written by Douglas Gray in 2024-09-05, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Why Data Science Projects Fail can be Read Online from any device for your convenience.
Why Data Science Projects Fail Book PDF Summary
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 decisions: 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% (or more) of analytics projects will continue to fail, costing enterprises and society hundreds of billions of dollars, and leading to non-experts abandoning one of the most important data-driven decision-making capabilities altogether. For the first time, business leaders, practitioners, students, and interested laypeople will learn what really makes a data science project successful. By illustrating with many personal stories, the authors reveal the harsh realities of implementing AI and analytics.
Detail Book of Why Data Science Projects Fail PDF
- Author : Douglas Gray
- Release : 05 September 2024
- Publisher : CRC Press
- ISBN : 9781040126295
- Genre : Computers
- Total Page : 223 pages
- Language : English
- PDF File Size : 10,8 Mb
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