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Data Science in 30 Minutes #4: Reinforcement Learning and Multi-Armed Bandits

Автор: The Data Incubator

Загружено: 2016-06-16

Просмотров: 21621

Описание: In June 2016, Former Data Incubator Fellow Brian Farris talked about Reinforcement Learning and Multi-Armed Bandits.

https://github.com/brianfarris/RLtalk...

For information on upcoming events, visit our Eventbrite: http://www.eventbrite.com/o/the-data-...

The Data Incubator is a data science education company based in NYC, DC, and SF with both corporate training as well as recruiting services. For data science corporate training, we offer customized, in-house corporate training solutions in data and analytics. For data science hiring, we run a free 8 week fellowship training PhDs to become data scientists. The fellowship selects 2% of its 2000+ quarterly applicants and is free for Fellows. Hiring companies (including EBay, Capital One, Pfizer) pay a recruiting fee only if they successfully hire. You can read about us on Harvard Business Review, VentureBeat, or The Next Web, or read about our alumniat LinkedIn, Palantir or the NYTimes.

http://www.thedataincubator.com

About the speakers:

Brian Farris is a data scientist at Capital One Labs who attended the Incubator as a Fellow last year. He has his PhD in Astrophysics from University of Illinois, Urbana-Champaign.

Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, employers engage with the Incubator as hiring partners.
Previously, he worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves.
Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events.

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Data Science in 30 Minutes #4: Reinforcement Learning and Multi-Armed Bandits

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