Data science for mathematicians

By:

Nathan Carter Ed

Material type: Text

TextPublication details: New York CRC Press 2025Description: xiiii,528p. HB 23.5x15.5cmISBN:

9781032941561

Subject(s):

DDC classification:

515 CARD

Summary: Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power and the ability to teach has reinvigorated the careers of mathematicians. This handbook will assist mathematicians to better understand the opportunities presented by data science. As it applies to the curriculum, research, and career opportunities, data science is a fast-growing field. Contributors from both academics and industry present their views on these opportunities and how to advantage them.

List(s) this item appears in: New Arrivals - January 2026

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	St Aloysius Engineering Library	Computer Science and Engineering (Artificial Intelligence & Machine Learning)	515 CARD (Browse shelf(Opens below))	Available	SE000143

Total holds: 0

Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power and the ability to teach has reinvigorated the careers of mathematicians. This handbook will assist mathematicians to better understand the opportunities presented by data science. As it applies to the curriculum, research, and career opportunities, data science is a fast-growing field. Contributors from both academics and industry present their views on these opportunities and how to advantage them.

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