Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing

eBook, PDF

Data Science in Context (eBook, PDF)

Foundations, Challenges, Opportunities

Beschreibung

Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms.

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 3.45MB
• FamilySharing(5)

Barrierefreiheit

• Text-to-Speech

Autor

Alfred Z. Spector is a technologist and research leader. His career has led him from innovation in large scale, networked computing systems (at Stanford, CMU, and his company, Transarc) to broad research leadership: first leading IBM Software Research and then Google Research. Following Google, he was the CTO at Two Sigma Investments, and he is presently a Visiting Scholar at MIT. In addition to his managerial career, Dr. Spector lectured widely on the growing importance of computer science across all disciplines (CS+X) and on the Societal Implications of Data Science. He is a fellow of the ACM, IEEE, and the American Academy of Arts and Sciences, and a member of the National Academy of Engineering. Dr. Spector won the 2001 IEEE Kanai Award for Distributed Computing, was co-awarded the 2016 ACM Software Systems Award, and was a Phi Beta Kappa Visiting Scholar. He received a Ph.D. in Computer Science from Stanford and an A.B. in Applied Mathematics from Harvard.

Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 20. Oktober 2022
• Englisch
• ISBN-13: 9781009272216
• Artikelnr.: 70911401