Data Science for Mathematicians: CRC Press/Chapman and Hall Handbooks in Mathematics Series
Editat de Nathan Carteren Limba Engleză Hardback – 16 sep 2020
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Specificații
ISBN-13: 9780367027056
ISBN-10: 0367027054
Pagini: 544
Ilustrații: 39 Tables, black and white; 151 Illustrations, black and white
Dimensiuni: 156 x 234 x 33 mm
Greutate: 0.93 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria CRC Press/Chapman and Hall Handbooks in Mathematics Series
ISBN-10: 0367027054
Pagini: 544
Ilustrații: 39 Tables, black and white; 151 Illustrations, black and white
Dimensiuni: 156 x 234 x 33 mm
Greutate: 0.93 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria CRC Press/Chapman and Hall Handbooks in Mathematics Series
Cuprins
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
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
Notă biografică
Nathan Carter is a professor at Bentley University.
Descriere
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.