- Joined
- 9/30/15
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Dear QuantNet Readers,
We would like to invite you to the following online sessions:
09:00 am - 10:00 am (Pacific Time Zone)
Join us to learn how the Berkeley MFE Program can help you to hone your skills for a career in industry. Our tailored curriculum, top faculty, and amazing career services will give you the skillset you need to hit the ground running after graduating. During the session, MFE Admissions experts will outline the admissions requirements and answer your questions about the admissions process. REGISTER NOW
Mini-lecture on big data and deep learning
February 28, 2023 4 pm (GMT)
Join Berkeley Assistant Professor Ali Kakhbod in this mini-lecture on big data and deep learning in finance. The session will cover an introduction to the applications of deep learning for financial services. Ali received a Ph.D. in Economics from the Massachusetts Institute of Technology and a Ph.D. in EECS (Electrical Engineering and Computer Science) from the University of Michigan. His research interests include information frictions, liquidity, banking, market microstructure, big (alternative) data, and contracts. REGISTER NOW
We would like to invite you to the following online sessions:
Online Information Session
February 14, 202309:00 am - 10:00 am (Pacific Time Zone)
Join us to learn how the Berkeley MFE Program can help you to hone your skills for a career in industry. Our tailored curriculum, top faculty, and amazing career services will give you the skillset you need to hit the ground running after graduating. During the session, MFE Admissions experts will outline the admissions requirements and answer your questions about the admissions process. REGISTER NOW
Mini-lecture on big data and deep learning
February 28, 2023 4 pm (GMT)
Join Berkeley Assistant Professor Ali Kakhbod in this mini-lecture on big data and deep learning in finance. The session will cover an introduction to the applications of deep learning for financial services. Ali received a Ph.D. in Economics from the Massachusetts Institute of Technology and a Ph.D. in EECS (Electrical Engineering and Computer Science) from the University of Michigan. His research interests include information frictions, liquidity, banking, market microstructure, big (alternative) data, and contracts. REGISTER NOW
