MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01888nam a22002777i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250915105459.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250723s2022 ii ao||fr|||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789389328622 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-GaU |
| Transcribing agency |
EG-GaU |
| Modifying agency |
EG-GaU |
| Description conventions |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
658.404 |
| Item number |
S.S.M |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Singla, Saurav, |
| Relator term |
aurhor |
| 9 (RLIN) |
60498 |
| 245 1# - TITLE STATEMENT |
|---|
| Title |
Machine learning for finance : |
| Remainder of title |
beginner’s guide to explore machine learning in banking and finance / |
| Statement of responsibility, etc. |
Saurav Singla. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
New Delhi : |
| Name of producer, publisher, distributor, manufacturer |
BPB Publications, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
240 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references.<br/> |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Introduction ‡ 2. Naïve Bayes, Normal Distribution & Clustering ‡ 3. Machine Learning for Data Structuring ‡ 4. Parsing Data Using NLP ‡ 5. Computer Vision ‡ 6. Neural Networks, GBM & Gradient Descent ‡ 7. Sequence Modeling ‡ 8. Reinforcement Learning for Financial Markets ‡ 9. Finance Use Cases ‡ 10. Impact of Machine Learning on Fintech ‡ 11. Machine Learning in Finance ‡ 12. e‑KYC & Anti‑Fraud Policy ‡ 13. Data Mining & Visualization ‡ 14. Advantages & Disadvantages of ML ‡ 15. Applications in Other Industries ‡ 16. Ethical Considerations in AI ‡ 17. AI in Banking ‡ 18. Common ML Algorithms ‡ 19. Frequently Asked Questions.<br/> |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
A practical introduction to machine learning applications in the financial sector, covering algorithms, NLP, computer vision, reinforcement learning, ethics, and real-world finance use cases.([turn0search2])([turn0search8])<br/> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning |
| General subdivision |
Applications. |
| 9 (RLIN) |
60499 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Financial services |
| General subdivision |
Data processing. |
| 9 (RLIN) |
60500 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |