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Cincinnati Chapter Meeting
Machine Learning in Investment Management
Presenter: Rick Roche, CAIA
AI. Black Box. Learner algorithms. Model decay. Quant-amental. Man/machine mix. Learn about the science and art of machine learning in the equity markets. Machine Learning in Equity Market Investing is an insider's look into the opaque world of quantitative investing and application of machine learning in equity investing.
The presenter will separate fact from fiction and hype from reality. Learn how asset managers are deploying learner algorithms and advanced statistical modeling to classify and monetize varied and differentiated sources of potential alpha. Although quants have not taken over Wall Street (not yet, anyway), the audience will be surprised to hear just how widespread automated trading systems (ATS) and algorithmic investing are being deployed in today's equity markets.
The presenter reveals some of the largest practitioners of quantitative investment management and emerging players in the quant investing space. Increasingly, asset managers are combining human and machine intelligence in the investment decision-making process. There's a virtual arms race fueled by 500+ alternative data set and tech vendors frantically hiring data scientists, computer engineers and math PhDs. No previous experience required!
Approved for 1hr CE for CFP
Pending Approval for 1hr CE for Ohio and Kentucky Insurance
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Date:
Tuesday, April 24, 2018
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Time:
11:00am - 1:00pm
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Location:
Rookwood Tower
3805 Edwards Road
3rd Floor Conference Room
Cincinnati, OH 45209
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Cost:
Members - No Charge
Non Members - $35
Non Member Students - $10
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Reminder:
Members must cancel by Friday, April 20, 2018 or they will incur a $15 charge.
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