Data Science for Mathematicians (eBook, PDF)

Redaktion: Carter, Nathan

• Format: PDF

Produktbeschreibung

Mathematicians have skills that 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. This handbook will assist mathematicians to better understand the opportunities presented by data science.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 544
• Erscheinungstermin: 15. September 2020
• Englisch
• ISBN-13: 9780429675683
• Artikelnr.: 60028244

Autorenporträt

Nathan Carter is a professor at Bentley University.

Inhaltsangabe

Contents
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
Bibliography