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Kandungan disediakan oleh The Quant / Financial Engineering Podcast and Patrick J Zoro. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh The Quant / Financial Engineering Podcast and Patrick J Zoro atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
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Reinforcement Learning and Interpretability

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Manage episode 320254265 series 2686124
Kandungan disediakan oleh The Quant / Financial Engineering Podcast and Patrick J Zoro. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh The Quant / Financial Engineering Podcast and Patrick J Zoro atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
Patrick Zoro welcomes to his podcasts Hariom Tatsat author of the book "Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python 1st Edition", Bryan Yekelchik Lehigh MFE graduate and Zach Coriarty 4th Year, Bachelors of Science in Computer Science and Business at Lehigh University, Interested in data science and ML, LinkedIn: https://www.linkedin.com/in/zachary-coriarty/ They discuss their recent paper on "Deep Q-Network Interpertability: Applications to ETF Trading" https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3973146 https://www.svedbergopen.com/files/1643786733_(3)_IJAIML2021YH205248CR_(p_61-70).pdf
  continue reading

53 episod

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iconKongsi
 
Manage episode 320254265 series 2686124
Kandungan disediakan oleh The Quant / Financial Engineering Podcast and Patrick J Zoro. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh The Quant / Financial Engineering Podcast and Patrick J Zoro atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
Patrick Zoro welcomes to his podcasts Hariom Tatsat author of the book "Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python 1st Edition", Bryan Yekelchik Lehigh MFE graduate and Zach Coriarty 4th Year, Bachelors of Science in Computer Science and Business at Lehigh University, Interested in data science and ML, LinkedIn: https://www.linkedin.com/in/zachary-coriarty/ They discuss their recent paper on "Deep Q-Network Interpertability: Applications to ETF Trading" https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3973146 https://www.svedbergopen.com/files/1643786733_(3)_IJAIML2021YH205248CR_(p_61-70).pdf
  continue reading

53 episod

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