|
|
|
|
| LEADER |
02784nam a2200469 i 4500 |
| 001 |
EBC5614243 |
| 003 |
MiAaPQ |
| 005 |
20200520144314.0 |
| 006 |
m o d | |
| 007 |
cr cnu|||||||| |
| 008 |
190111s2019 enk ob 001 0 eng d |
| 020 |
|
|
|z 9781119522195
|
| 020 |
|
|
|a 9781119522089
|q (electronic bk.)
|
| 020 |
|
|
|a 9781119522218
|q (electronic bk.)
|
| 035 |
|
|
|a (MiAaPQ)EBC5614243
|
| 035 |
|
|
|a (Au-PeEL)EBL5614243
|
| 035 |
|
|
|a (OCoLC)1080079483
|
| 040 |
|
|
|a MiAaPQ
|b eng
|e rda
|e pn
|c MiAaPQ
|d MiAaPQ
|
| 050 |
|
4 |
|a HG4521
|b .G853 2019
|
| 082 |
0 |
|
|a 332.60285/631
|2 23
|
| 100 |
1 |
|
|a Guida, Tony,
|d 1979-
|e author.
|
| 245 |
1 |
0 |
|a Big data and machine learning in quantitative investment /
|c Tony Guida.
|
| 264 |
|
1 |
|a Chichester :
|b Wiley,
|c [2019]
|
| 264 |
|
4 |
|c 2019
|
| 300 |
|
|
|a 1 online resource (299 pages).
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Wiley finance
|
| 504 |
|
|
|a Includes bibliographical references and index.
|
| 505 |
8 |
|
|a Machine generated contents note: Chapter 1: Do algorithms dream about artificial alphas? Chapter 2: Taming Big data Chapter 3: State of machine learning applications in investment management Chapter 4: Implementing alternative data in an investment Process Chapter 5: Using alternative and Big Data to trade macro assets Chapter 6: Big is beautiful: How email receipt data can help predict company sales Chapter 7: Ensemble learning applied to quant equity: gradient boosting in a multi-factor framework Chapter 8: A social media analysis of corporate culture Chapter 9: Machine Learning & Event Detection for Trading Energy Futures Chapter 10: Natural language processing of financial news Chapter 11: Support-Vector-Machine Based Global Tactical Asset Allocation Chapter 12: Reinforcement learning in finance Chapter 13: Deep learning in Finance: Prediction of stock returns with long short term memory networks Biography of contributors.
|
| 588 |
|
|
|a Description based on print version record.
|
| 590 |
|
|
|a Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
|
| 650 |
|
0 |
|a Investments
|x Study and teaching.
|
| 650 |
|
0 |
|a Machine learning.
|
| 650 |
|
0 |
|a Big data.
|
| 650 |
|
7 |
|a BUSINESS & ECONOMICS / Finance.
|2 bisacsh
|
| 655 |
|
4 |
|a Electronic books.
|
| 776 |
0 |
8 |
|i Print version:
|a Guida, Tony, 1979-
|t Big data and machine learning in quantitative investment.
|d Chichester : Wiley, c2019
|h 299 pages
|k Wiley finance series.
|z 9781119522195
|w (DLC) 2018054105
|
| 797 |
2 |
|
|a ProQuest (Firm)
|
| 830 |
|
0 |
|a Wiley finance series.
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=5614243
|z Click to View
|