Foundations of Data Science (Record no. 26299)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 9781108485067 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004 |
| Author Mark | BLU-F |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Blum, Avrim |
| 245 ## - TITLE STATEMENT | |
| Title | Foundations of Data Science |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | New York |
| Name of publisher, distributor, etc. | Cambridge University Press |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | viii;424 p |
| 500 ## - GENERAL NOTE | |
| General note | "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"-- Provided by publisher |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject / Department | Computer science. Statistics. Quantitative research. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hopcroft, John; Kannan, Ravindran |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Inventory number | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science | Air University Central Library Islamabad | Air University Central Library Islamabad | Computer Science | 10/13/2021 | Multi-line books | 6389.00 | 02991 | 004 BLU-D | P13212 | 10/13/2021 | Book |