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Machine Learning in Finance: A Quantitative Approach | New York, 6 - 7 June
Date
Jun 08, 2021 - 09:00 AM
- Jun 09, 09:00 AM
Link to Website
Organizer
Risk.net
Venue
55 Broad Sreet
Location
55,
Broad Sreet
Financial District New York,
NY,
USA,
ZIP: 10004
Phone:
This two day training course will provide delegates with an in-depth, theoretical and practical understanding of machine learning applications, models, and more advanced tools and solutions through a quantitative approach.
The action-packed agenda will delve into a variety of main theories, current applications of machine learning and showcase some case studies. It will examine what impact machine learning has on trading, portfolio construction and optimization as well as focus on the relationship between Deep Learning and Big Data, applications of Natural Language Processing and Quantum Computing.
The course is delivered by the top practitioners from the leading financial institutions working in the machine learning field, and held in an open and discussion based learning environment.
URLs:
Tickets: https://go.evvnt.com/411850-2?pid=4528
Brochure: https://go.evvnt.com/411850-3?pid=4528
Prices:
Two Day Training Course (Super Early Bird): USD 2199.0,
Two Day Training Course (Super Early Bird 3 for 2): USD 1466.0,
Two Day Training Course (Early Bird): USD 2399.0,
Two Day Training Course (Early Bird 3 for 2): USD 1599.33,
Two Day Training Course: USD 2599.0,
Two Day Training Course (3 for 2): USD 1732.66,
Complimentary Guest: USD 0.0,
Speaker: USD 0.0,
Speaker Guest: USD 0.0
Speakers: Steve Yalovitser Co-Founder, New York Quantum Computing Meet-up and Director, XVA Quant Core Lead Wells Fargo, Petter Kolm Professor And Director of the Mathematics in Finance, Courant Institute New York University, Ken Perry Former CRO OCH-ZIFF Capital Management, Terry Benzschawel Founder and Principal Benzschawel Scientific, Arik Ben Dor Head of Quantitative Equity Research BARCLAYS, Elliot Noma Machine Learning Engineer Consultant Federal Reserve Bank of New York, Patrick Dugnolle Head of Multi-Assets and Quantitative Solutions BNP Paribas Asset Management
The action-packed agenda will delve into a variety of main theories, current applications of machine learning and showcase some case studies. It will examine what impact machine learning has on trading, portfolio construction and optimization as well as focus on the relationship between Deep Learning and Big Data, applications of Natural Language Processing and Quantum Computing.
The course is delivered by the top practitioners from the leading financial institutions working in the machine learning field, and held in an open and discussion based learning environment.
URLs:
Tickets: https://go.evvnt.com/411850-2?pid=4528
Brochure: https://go.evvnt.com/411850-3?pid=4528
Prices:
Two Day Training Course (Super Early Bird): USD 2199.0,
Two Day Training Course (Super Early Bird 3 for 2): USD 1466.0,
Two Day Training Course (Early Bird): USD 2399.0,
Two Day Training Course (Early Bird 3 for 2): USD 1599.33,
Two Day Training Course: USD 2599.0,
Two Day Training Course (3 for 2): USD 1732.66,
Complimentary Guest: USD 0.0,
Speaker: USD 0.0,
Speaker Guest: USD 0.0
Speakers: Steve Yalovitser Co-Founder, New York Quantum Computing Meet-up and Director, XVA Quant Core Lead Wells Fargo, Petter Kolm Professor And Director of the Mathematics in Finance, Courant Institute New York University, Ken Perry Former CRO OCH-ZIFF Capital Management, Terry Benzschawel Founder and Principal Benzschawel Scientific, Arik Ben Dor Head of Quantitative Equity Research BARCLAYS, Elliot Noma Machine Learning Engineer Consultant Federal Reserve Bank of New York, Patrick Dugnolle Head of Multi-Assets and Quantitative Solutions BNP Paribas Asset Management
Event Categories
BUSINESS & MANAGEMENT CONFERENCES
Keywords: conference