Machine learning for the physical sciences (Record no. 230532)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01829nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240323110553.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240319b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781032395234 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AL |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23 |
| Classification number | 006.3105 |
| Item number | CUNM |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Carlo Requiao da Cunha |
| 9 (RLIN) | 155466 |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning for the physical sciences |
| Remainder of title | : fundamentals and prototyping with julia |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | London |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxi,266p. |
| Other physical details | PB |
| Dimensions | 23x14cm. |
| 365 ## - TRADE PRICE | |
| Source of price type code | General |
| Price type code | 7951 |
| Price amount | ₹5586.28 |
| Currency code | ₹ |
| Unit of pricing | ₹7161.90 |
| Price note | 22% |
| Price effective from | 23/02/2024 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Machine learning is an exciting topic with a myriad of applications. However, most textbooks are targeted towards computer science students. This, however, creates a complication for scientists across the physical sciences that also want to understand the main concepts of machine learning and look ahead to applica- tions and advancements in their fields.This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in machine learning for those from the physical sciences, without a formal background in computer science. It demon- strates how machine learning can be used to solve problems in physics and engineering, targeting senior undergraduate and graduate students in physics and electrical engineering, alongside advanced researchers.All codes are available on the author's website: C•Lab (nau.edu).They are also available on GitHub: https://github.com/StxGuy/MachineLearning.Key Features: Ludes detailed algorithms. Supplemented by codes in Julia: a high-performing language and one that is easy to read for those in the natural sciences. All algorithms are presented with a good mathematical background. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | computer methods |
| Topical term or geographic name entry element | computer information |
| 9 (RLIN) | 155467 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | 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 | Physics | St Aloysius PG Library | St Aloysius PG Library | 03/09/2024 | Biblios Book Point | 5586.28 | 006.3105 CUNM | PG024697 | 03/19/2024 | 7161.90 | 03/19/2024 | Book |
