Big data and machine learning in quantitative investment / (Record no. 59124)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02566cam a2200205 i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119522195 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 332.60285631 |
| Item number | GUI/B |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Guida, Tony, |
| 245 10 - TITLE STATEMENT | |
| Title | Big data and machine learning in quantitative investment / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Sussex |
| Name of publisher | John Wiley & Sons |
| Year of publication | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 285p. |
| 490 0# - SERIES STATEMENT | |
| Series statement | Wiley finance |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Get to know the "why" and "how" of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how"-- |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Sales handles: ACTIONABLE CONTENT: it is the only book on the subject written by practitioners for practitioners, focusing on the "why" and "how" of using machine learning and big data in finance. It is not a book on mathematical demonstration or coding HIGH-CALIBER AUTHOR TEAM with wide networks within the Quant community. Great opportunities for promotion and possibly buybacks HOT TOPIC: machine learning and artificial intelligence are of huge interest to finance institutions looking to gain an edge Marketing Decription: Each of the authors is well known and respected in the Quant Finance field; each has a wide professional network, and speaks regularly at major Quant conferences around the world. They are also members of Quant finance organisations such as Opalesque, London Quant group, Inquire, CFA Financial Journal, EDHEC Risk, QuantCon and Re-Work Deep learning"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Investments |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Big data. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | BUSINESS & ECONOMICS / Finance. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | BK |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | |
| Damaged status | |
| Home library | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|
| Kannur University Central Library | Stack | 28/07/2020 | 50.00 | 332.60285631 GUI/B | 51016 | BK |