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Live Webinar: Reinforcement Learning in the Presence of Nonstationary Variables TOMORROW 1/23

Join us for our next live webinar, "Reinforcement Learning in the Presence of Nonstationary Variables" TOMORROW, January 23rd at 4:00pm ET. Speaker Simon Ouellette will explain in detail the difficulty of conventional reinforcement learning in the context of financial trading.

Register for the webinar for free.

About the Speaker:
Simon Ouellette is a machine learning specialist, and a quantitative trader at a proprietary trading firm. Starting his career as a software engineer about 15 years ago, he increasingly gravitated towards data science roles. His passion for finance was acquired when he worked in New York for Bloomberg, 9 years ago. Since then he has been applying data science to trading, first in an amateur setting, and eventually in the current professional environment.

Disclaimer

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11 responses

Thanks, Simon and Paige for the webinar on a complex subject!

Look forward to the slides and video to more fully understand and digest the intricate points.

Hi Karl, we're glad you enjoyed the webinar. You'll receive an email within the next couple days with a link to the webinar recording and Simon's slides.

Thanks for joining!

Is there a place we could find the record of this webinar?

Hi David, you'll receive an email within the next couple days with a link to the webinar recording and Simon's slides.

Thanks for register for the webinar.

Can I get one as well?

Yes, all registrants will receive an email once the recording is ready. Thanks!

Will a link be made available to those who did not register? Interested in viewing the recording.

Hi Vin,

Yes, all webinar recordings are uploaded to the Quantopian Channel. Simon's webinar will be posted there as soon as it is ready for viewing.

Thanks!

Thank you!

Hi all, you can now view the recording on the Quantopian YouTube Channel.

Thank you for your patience. We hope you enjoy!

Hi, thanks for the great webinar. Is it possible to get the jupyter notebook/slides of this webinar somewhere?