Physics of data science and machine learning [special Indian edition] (Record no. 567661)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01983 a2200181 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781032939377 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 530.02853 |
| Item number | R191p |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Rauf, Ijaz A. |
| 245 ## - TITLE STATEMENT | |
| Title | Physics of data science and machine learning [special Indian edition] |
| Statement of responsibility, etc | Ijaz A. Rauf |
| 250 ## - EDITION STATEMENT | |
| Edition statement | special Indian edition |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | CRC Press |
| Year of publication | 2025 |
| Place of publication | Boca Raton |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvi, 194p |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Physics of Data Science and Machine Learning links fundamental concepts of physics to data science, machine learning and artificial intelligence for physicists looking to integrate these techniques into their work. This book is written explicitly for physicists, marrying quantum and statistical mechanics with modern data mining, data science, and machine learning. It also explains how to integrate these techniques into the design of experiments, whilst exploring neural networks and machine learning building on fundamental concepts of statistical and quantum mechanics. This book is a self-learning tool for physicists looking to learn how to utilize data science and machine learning in their research. It will also be of interest to computer scientists and applied mathematicians, alongside graduate students looking to understand the basic concepts and foundations of data science, machine learning, and artificial intelligence. Although specifically written for physicists, it will also help provide non-physicists with an opportunity to understand the fundamental concepts from a physics perspective to aid the development of new and innovative machine learning and artificial intelligence tools. Key features: Introduces the design of experiments and digital twin concepts in simple lay terms for physicists to understand, adopt, and adapt. Free from endless derivations, instead equations are presented and explained strategically and explain why-- Provided by publisher. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Physics -- Data science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Under Process | General Stacks | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 16/09/2025 | 2 | 821.25 | 530.02853 R191p | A187048 | 1095.00 | Books |