Ebook: Data Science for Mathematicians
Author: Nathan Carter
- Genre: Mathematics // Applied Mathematicsematics
- Tags: Linear Algebra Statistics Clustering Operations Research Machine Learning Neural Networks
- Series: Handbooks in Mathematics
- Year: 2020
- Publisher: CRC Press
- Edition: 1
- Language: English
- pdf
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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