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OverviewMathematicians 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. Full Product DetailsAuthor: Nathan CarterPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 1.010kg ISBN: 9780367528492ISBN 10: 0367528495 Pages: 528 Publication Date: 26 August 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsContents Chapter 1 Introduction 1 Chapter 2 Programming with Data Chapter 3 Linear Algebra Chapter 4 Basic Statistics Chapter 5 Clustering Chapter 6 Operations Research Chapter 7 Dimensionality Reduction Chapter 8 Machine Learning Chapter 9 Deep Learning Chapter 10 Topological Data Analysis BibliographyReviewsAuthor InformationNathan Carter is a professor at Bentley University. Tab Content 6Author Website:Countries AvailableAll regions |