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From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT)
Manage episode 288116244 series 2849409
Rodrigo Rivera is a machine learning researcher at the Advanced Data Analytics in Science and Engineering Group at Skoltech and technical director of Samsung Next. He's previously been in data science and research leadership roles at companies all around the world including Rocket Internet and Philip-Morris.
Learn more about Rodrigo:
https://twitter.com/rodrigorivr
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://www.cyou.ai/newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
03:00 How Rodrigo got started in computer science and started his first company
10:40 Rodrigo's experiences leading data science teams at Rocket Internet and PMI
26:15 Leaving industry to get a PhD in machine learning
28:55 Data science collaboration between business and academia
32:45 Rodrigo's research interest in time series data
39:25 Topological data analysis
45:35 Framing effective research as a startup
48:15 Neural Prophet
01:04:10 The potential future of Julia for numerical computing
01:08:20 Most exciting opportunities for ML in industry
01:15:05 Rodrigo's advice for listeners
01:17:00 Rapid fire questions
Links:
Advanced Data Analytics in Science and Engineering Group
32 에피소드
Manage episode 288116244 series 2849409
Rodrigo Rivera is a machine learning researcher at the Advanced Data Analytics in Science and Engineering Group at Skoltech and technical director of Samsung Next. He's previously been in data science and research leadership roles at companies all around the world including Rocket Internet and Philip-Morris.
Learn more about Rodrigo:
https://twitter.com/rodrigorivr
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://www.cyou.ai/newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
03:00 How Rodrigo got started in computer science and started his first company
10:40 Rodrigo's experiences leading data science teams at Rocket Internet and PMI
26:15 Leaving industry to get a PhD in machine learning
28:55 Data science collaboration between business and academia
32:45 Rodrigo's research interest in time series data
39:25 Topological data analysis
45:35 Framing effective research as a startup
48:15 Neural Prophet
01:04:10 The potential future of Julia for numerical computing
01:08:20 Most exciting opportunities for ML in industry
01:15:05 Rodrigo's advice for listeners
01:17:00 Rapid fire questions
Links:
Advanced Data Analytics in Science and Engineering Group
32 에피소드
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