Data science for mathematicians 

 - Boco Raton  CRC Press   2021 
 - xv, 528 p. 
<br/><br/>Table of Contents<br/>Contents<br/><br/>Chapter 1 Introduction 1<br/>Chapter 2 Programming with Data<br/>Chapter 3 Linear Algebra<br/>Chapter 4 Basic Statistics<br/>Chapter 5 Clustering<br/>Chapter 6 Operations Research<br/>Chapter 7 Dimensionality Reduction<br/>Chapter 8 Machine Learning<br/>Chapter 9 Deep Learning<br/>Chapter 10 Topological Data Analysis<br/>Bibliography 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9780367027056 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical analysis<br/>Mathematical statistics<br/>Data mining
<br/><br/><label>Dewey Class. No.: </label>515  / CAR