Read Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series)

Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series)

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Description: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% (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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series). To get started finding Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 1040126294

Description: 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% (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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series). To get started finding Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series)

Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series)

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