Computation and Analytics

Computation and Analytics

This series focuses on advancing education and research at the interface of qualitative analysis and quantitative sciences. Current challenges and new opportunities are explored with an emphasis on the integration and application of mathematics and engineering to create computational models for understanding and solving real-world complex problems. Applied mathematical, statistical, and computational techniques are utilized to understand the actions and interactions of computational and analytical sciences. Various perspectives on research problems in data science, engineering, information science, operations research, and computational science, engineering, and mathematics are presented. The techniques and perspectives are designed for all those who need to improve or expand their use of analytics across a variety of disciplines and applications.



Why AI/Data Science Projects Fail Why AI/Data Science Projects Fail
Joyce Weiner
Recent data shows that 87% of Artificial Intelligence/Big Data projects don’t make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching depl…
Publication Date: January, 2021

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