MATLAB machine learning recipes (Record no. 10207)
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| 000 -LEADER | |
|---|---|
| fixed length control field | nam a22 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191203142933.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191126b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484252413 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AIKTC-KRRC |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | ENG |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | DDC23 |
| Item number | PAL/THO |
| Classification number | 006.31 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 10659 |
| Personal name | Paluszek, Michael |
| 245 ## - TITLE STATEMENT | |
| Title | MATLAB machine learning recipes |
| Remainder of title | : A problem-solution approach |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New York |
| Name of publisher, distributor, etc. | Apress |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xix, 347p. |
| Other physical details | | Binding - Paperback | |
| Dimensions | 24*16.5 cm |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.<br/> |
| Expansion of summary note | What you'll learn:<br/><br/> How to write code for machine learning, adaptive control and estimation using MATLAB<br/> How these three areas complement each other<br/> How these three areas are needed for robust machine learning applications<br/> How to use MATLAB graphics and visualization tools for machine learning<br/> How to code real world examples in MATLAB for major applications of machine learning in big data<br/><br/> Who is this book for: The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4619 |
| Topical term or geographic name entry element | EXTC Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 10660 |
| Personal name | Thomas, Stephanie |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://github.com/Apress/matlab-machine-learning-recipes">https://github.com/Apress/matlab-machine-learning-recipes</a> |
| Link text | Source Code |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Reference | School of Engineering & Technology | School of Engineering & Technology | Reference Section | 03/12/2019 | 2 | 879.20 | 006.31 PAL/THO | E15178 | 25/06/2025 | 1099.00 | 03/12/2019 | Books |