Big data and machine learning in quantitative investment /

Big data and machine learning in quantitative investment / / Tony Guida.

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Superior document:Wiley finance
VerfasserIn:
Guida, Tony, 1979-
Place / Publishing House:Chichester : : Wiley,, [2019]
2019
Year of Publication:2019
Language:English
Series:Wiley finance series.
Online Access:
Physical Description:1 online resource (299 pages).
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id 5005614243
ctrlnum (MiAaPQ)5005614243
(Au-PeEL)EBL5614243
(OCoLC)1080079483
collection bib_alma
record_format marc
spelling Guida, Tony, 1979- author.
Big data and machine learning in quantitative investment / Tony Guida.
Chichester : Wiley, [2019]
2019
1 online resource (299 pages).
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Wiley finance
Includes bibliographical references and index.
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.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Investments Study and teaching.
Machine learning.
Big data.
BUSINESS & ECONOMICS / Finance. bisacsh
Electronic books.
Print version: Guida, Tony, 1979- Big data and machine learning in quantitative investment. Chichester : Wiley, c2019 299 pages Wiley finance series. 9781119522195 (DLC) 2018054105
ProQuest (Firm)
Wiley finance series.
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5614243 Click to View
language English
format eBook
author Guida, Tony, 1979-
spellingShingle Guida, Tony, 1979-
Big data and machine learning in quantitative investment /
Wiley finance
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.
author_facet Guida, Tony, 1979-
author_variant t g tg
author_role VerfasserIn
author_sort Guida, Tony, 1979-
title Big data and machine learning in quantitative investment /
title_full Big data and machine learning in quantitative investment / Tony Guida.
title_fullStr Big data and machine learning in quantitative investment / Tony Guida.
title_full_unstemmed Big data and machine learning in quantitative investment / Tony Guida.
title_auth Big data and machine learning in quantitative investment /
title_new Big data and machine learning in quantitative investment /
title_sort big data and machine learning in quantitative investment /
series Wiley finance
series2 Wiley finance
publisher Wiley,
publishDate 2019
physical 1 online resource (299 pages).
contents 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.
isbn 9781119522089
9781119522218
9781119522195
callnumber-first H - Social Science
callnumber-subject HG - Finance
callnumber-label HG4521
callnumber-sort HG 44521 G853 42019
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5614243
illustrated Not Illustrated
dewey-hundreds 300 - Social sciences
dewey-tens 330 - Economics
dewey-ones 332 - Financial economics
dewey-full 332.60285/631
dewey-sort 3332.60285 3631
dewey-raw 332.60285/631
dewey-search 332.60285/631
oclc_num 1080079483
work_keys_str_mv AT guidatony bigdataandmachinelearninginquantitativeinvestment
status_str n
ids_txt_mv (MiAaPQ)5005614243
(Au-PeEL)EBL5614243
(OCoLC)1080079483
carrierType_str_mv cr
hierarchy_parent_title Wiley finance
is_hierarchy_title Big data and machine learning in quantitative investment /
container_title Wiley finance
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