机读格式显示(MARC)
- 000 02514cam a2200373 i 4500
- 008 250425s2025 fluaf b 001 0 eng
- 020 __ |a 9781032660301 |q (paperback)
- 020 __ |a 1032660309 |q (paperback)
- 020 __ |a 9781032661339 |q (hardback)
- 020 __ |a 103266133X |q (hardback)
- 020 __ |z 9781032661360 |q (ebook)
- 040 __ |a DLC |b eng |e rda |c DLC |d OCLCO |d IG# |d DEEMS
- 050 00 |a QA76.9.Q36 |b S54 2025
- 082 00 |a 001.4/2028563 |2 23/eng/20240910
- 100 1_ |a Shellsear, Evan, |e author.
- 245 10 |a Beyond the hype : |b why data science projects fail : the harsh realities of implementing AI and analytics / |c Dr. Evan Shellsear and Doug Gray.
- 260 __ |a Boca Raton, FL : |b CRC Press, |c 2025.
- 300 __ |a xiii, 208 pages : |b llustrations, forms ; |c 24 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a "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"-- |c Provided by publisher.
- 650 _0 |a Predictive analytics.
- 650 _0 |a Quantitative research.
- 650 _0 |a Artificial intelligence.
- 650 _0 |a Decision making |x Mathematical models.
- 700 1_ |a Gray, Doug |q (Douglas A.), |e author.