Machine learning and big data with kdb+/q (Record no. 565284)
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| 000 -LEADER | |
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| fixed length control field | 02806 a2200289 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220124164020.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220120b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119404750 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | IIT Kanpur |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.74 |
| Item number | M184 |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning and big data with kdb+/q |
| Statement of responsibility, etc | Jan Novotny ...[et al.] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Wiley |
| Year of publication | 2020 |
| Place of publication | Chichester |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxiv, 613p |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Wiley finance series |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Machine Learning and Big Data with KDB+/Q offers quants, programmers, and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading.<br/><br/>The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing “bible”-type reference, this book is designed with a focus on real-world practicality to help you quickly get up to speed and become productive with the language.<br/><br/>-Understand why kdb+/q is the ideal solution for high-frequency data.<br/><br/>-Delve into the “meat” of q programming to solve practical economic problems.<br/><br/>-Perform everyday operations including basic regressions, cointegration, volatility estimation, modeling, and more.<br/><br/>-Learn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networks.<br/><br/>The kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data – more variables, more metrics, more responsiveness, and altogether more “moving parts.”<br/><br/>Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modeling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Big data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Query languages (Computer science) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Databases |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Novotny, Jan |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bilokon, Paul A. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Galiotos, Aris |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Deleze, Frederic |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| General Stacks | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 31/01/2022 | 68 | 4466.00 | 005.74 M184 | A185533 | 5475.00 | Books |