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How Reinforcement Learning can be Applied to Quantitative Finance w/ Dr. Tom Starke

How Reinforcement Learning can be Applied to Quantitative Finance w/ Dr. Tom StarkeУ вашего броузера проблема в совместимости с HTML5
In our latest video, “How Reinforcement Learning can be Applied to Quantitative Finance”, the CEO of AAA Quants, Dr. Tom Starke, discusses reinforcement learning with Quantopian VP of Growth, Delaney MacKenzie. Over the course of the video, they discuss different uses of reinforcement learning, different types of machine learning, and how they relate in finance. About the Speaker: Dr. Tom Starke has a Ph.D. in Physics and works as an algorithmic trader at a proprietary trading company in Sydney. He has a keen interest in mathematical modeling and machine learning in the financial markets. He has previously lectured computer simulation at Oxford University and lead strategic research projects for Rolls-Royce Plc. Tom is very active in the quantitative trading community, running workshops for Quantopian, teaching people quantitative analysis techniques, and organizing algorithmic trading meetup groups such as Cybertraders Syd. To learn more about Quantopian, visit http://www.quantopian.com. Disclaimer Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.
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