Today we continue our coverage of the AWS ML Summit joined by Chris Fregly, a principal developer advocate at AWS, and Antje Barth, a senior developer advocate at AWS.
In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently released book Data Science on AWS. In the book, Chris and Antje demonstrate how to reduce cost and improve performance while successfully building and deploying data science projects.
We also discuss the release of their new Practical Data Science Specialization on Coursera, managing the complexity that comes with building real-world projects, and some of their favorite sessions from the recent ML Summit.
Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569
Daring to DAIR: Distributed AI Research with Timnit Gebru - #568
Hierarchical and Continual RL with Doina Precup - #567
Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566
Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565
Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf - #564
Full-Stack AI Systems Development with Murali Akula - #563
100x Improvements in Deep Learning Performance with Sparsity, w/ Subutai Ahmad - #562
Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560
Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559
Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558
Differentiable Programming for Oceanography with Patrick Heimbach - #557
Trends in Machine Learning & Deep Learning with Zachary Lipton - #556
Solving the Cocktail Party Problem with Machine Learning, w/ Jonathan Le Roux - #555
Machine Learning for Earthquake Seismology with Karianne Bergen - #554
The New DBfication of ML/AI with Arun Kumar - #553
Building Public Interest Technology with Meredith Broussard - #552
A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551
Trends in NLP with John Bohannon - #550
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