Coverart for item
The Resource Foundations of data science, Avrim Blum, Toyota Technical Institute at Chicago, John Hopcroft, Cornell University, New York, Ravindran Kannan, Microsoft Research, India

Foundations of data science, Avrim Blum, Toyota Technical Institute at Chicago, John Hopcroft, Cornell University, New York, Ravindran Kannan, Microsoft Research, India

Label
Foundations of data science
Title
Foundations of data science
Statement of responsibility
Avrim Blum, Toyota Technical Institute at Chicago, John Hopcroft, Cornell University, New York, Ravindran Kannan, Microsoft Research, India
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
"This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data"--
Assigning source
Provided by publisher
Cataloging source
DLC
http://library.link/vocab/creatorDate
1966-
http://library.link/vocab/creatorName
Blum, Avrim
Dewey number
004
Illustrations
illustrations
Index
index present
LC call number
QA76
LC item number
.B5675 2020
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1939-
  • 1953-
http://library.link/vocab/relatedWorkOrContributorName
  • Hopcroft, John E.
  • Kannan, Ravindran
http://library.link/vocab/subjectName
  • Computer science
  • Statistics
  • Quantitative research
  • Computer science
  • Quantitative research
  • Statistics
  • Big Data
  • Data Science
  • Datenanalyse
  • Komplexes System
Label
Foundations of data science, Avrim Blum, Toyota Technical Institute at Chicago, John Hopcroft, Cornell University, New York, Ravindran Kannan, Microsoft Research, India
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- High-dimensional space -- Best-fit subspaces and Singular Value Decomposition (SVD) -- Random walks and Markov chains -- Machine learning -- Algorithms for massive data problems: streaming, sketching, and sampling -- Clustering -- Random graphs -- Topic models, non-negative matrix factorization, hidden Markov models, and graphical models -- Other topics -- Wavelets -- Background material
Control code
1105705800
Dimensions
26 cm
Extent
viii, 424 pages
Isbn
9781108485067
Lccn
2019038133
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
System control number
(OCoLC)1105705800
Label
Foundations of data science, Avrim Blum, Toyota Technical Institute at Chicago, John Hopcroft, Cornell University, New York, Ravindran Kannan, Microsoft Research, India
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- High-dimensional space -- Best-fit subspaces and Singular Value Decomposition (SVD) -- Random walks and Markov chains -- Machine learning -- Algorithms for massive data problems: streaming, sketching, and sampling -- Clustering -- Random graphs -- Topic models, non-negative matrix factorization, hidden Markov models, and graphical models -- Other topics -- Wavelets -- Background material
Control code
1105705800
Dimensions
26 cm
Extent
viii, 424 pages
Isbn
9781108485067
Lccn
2019038133
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
System control number
(OCoLC)1105705800

Library Locations

    • Mathematical Sciences LibraryBorrow it
      104 Ellis Library, Columbia, MO, 65201, US
      38.944377 -92.326537
Processing Feedback ...