| 000 -LEADER |
|---|
| fixed length control field |
01930nam a22003017a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CITU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240509083950.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240509b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789355511935 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.301/51 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Preferred name for the person |
Ghosh, Tamoghna, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Practical mathematics for AI and deep learning / |
| Statement of responsibility, etc |
Tamoghna Ghosh and Shravan Kumar Belagal Math. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New Delhi : |
| Name of publisher, distributor, etc |
BPB Publications, |
| Date of publication, distribution, etc |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxiv, 504 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Tamoghna is an AI Software Solutions Engineer in Client Computing Group at Intel and has 15 years of work experience. He has a master’s in computer science from Indian Statistical Institute and a master’s in mathematics form Calcutta University. He has 4 US patents, 3 IEEE papers and has also authored book on Transfer learning. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Shravan is currently an AI Engineer at Intel’s Client Computing Group with 11 years of working experience. He had Master of Engineering degree from Indian Institute of Science, Computer Science and Automation department. He has been granted with 4 US patents. His interest lies in application of AI algorithms to solve real world problems. |
| 501 ## - WITH NOTE |
|---|
| With note |
Includes index. |
| 505 0# - CONTENTS |
|---|
| Formatted contents note |
1. Overview of AI -- 2. Linear algebra -- 3. Vector calculus -- 4. Basic statistics and probability theory -- 5. Statistical inference and applications -- 6. Neural networks -- 7. Clustering -- 8. Dimensionality Reduction -- 9. Computer vision -- 10. Sequence learning models -- 11. Natural language processing -- 12. Generative models -- Index. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| General subdivision |
Mathematics. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Math, Shravan Kumar Belagal, |
| Relator term |
author. |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
BOOK |