Yannic Kilcher: Explaining Papers on Youtube, Why Peer Review is Broken, and the Future of the Field
Yannic Kilcher is PhD candidate at ETH Zurich researching deep learning, structured learning, and optimization for large…
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How to Get Ahead in Machine Learning with Zak Slayback (1517 Fund)
Zak Slayback is a principal at 1517 Fund, a venture capital fund that prioritizes working with dropouts. He wrote the…
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Why Multi-Modality is the Future of Machine Learning w/ Letitia Parcalabescu (University of Heidelberg, AI Coffee Break)
Letitia Parcalabescu is a PhD candidate at the University of Heidelberg focused on multi-modal machine learning,…
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Moin Nadeem (MIT): The extraordinary future of natural language models
Moin Nadeem is a masters student at MIT, where he studies natural language generation. His research interests broadly…
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Peiyuan Liao: The 20 Year-Old Kaggle Grandmaster
Peiyuan Liao is the youngest Chinese Kaggle grandmaster at only 20 years old with numerous gold medals and 1st, 2nd, and…
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Shreya Shankar: Lessons learned after a year of putting ML into production
Shreya Shankar is a Machine Learning Engineer at Viaduct AI. She's a master's student at Stanford and has previously…
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Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production
Josh Tobin holds a CS PhD from UC Berkeley, which he completed in four years while also working at OpenAI as a…
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Sanyam Bhutani: Chai Time Data Science
Sanyam Bhutani is a Machine Learning Engineer at http://h2o.ai (H2O.ai) and host of the Chai Time Data Science Show.…
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