Showing papers by "Peter Norvig published in 2023"
TL;DR: In this paper, the authors seek to make machine learning more dependable, and propose a dependability-based approach to machine learning, which they call dependable machine learning (CSML).
Abstract: Seeking to make machine learning more dependable.
TL;DR: The authors of a new textbook, Data Science in Context: Foundations, Challenges, Opportunities, share their ideas about the impact of the field on nearly all aspects of the economy and society as mentioned in this paper .
Abstract: Dramatic advances in the ability to gather, store, and process data have led to the rapid growth of data science and its mushrooming impact on nearly all aspects of the economy and society. Data science has also had a huge effect on academic disciplines with new research agendas, new degrees, and organizational entities. The authors of a new textbook, Data Science in Context: Foundations, Challenges, Opportunities, share their ideas about the impact of the field on nearly all aspects of the economy and society.