Since the beginning of the coronavirus pandemic, we’ve seen an outpouring of interest on the part of data scientists and AI practitioners wanting to make a contribution. At the same time, some of the resulting efforts have been criticized for promoting the spread of misinformation or being disconnected from the applicable domain knowledge.
In this discussion, we explore how data scientists and ML/AI practitioners can responsibly contribute to the fight against coronavirus and COVID-19. Four experts: Rex Douglass, Rob Munro, Lea Shanley, and Gigi Yuen-Reed shared a ton of valuable insight on the best ways to get involved.
We've gathered all the resources that our panelists discussed during the conversation, you can find those at twimlai.com/talk/370.
Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546
Optimization, Machine Learning and Intelligent Experimentation with Michael McCourt - #545
Jupyter and the Evolution of ML Tooling with Brian Granger - #544
Creating a Data-Driven Culture at ADP with Jack Berkowitz - #543
re:Invent Roundup 2021 with Bratin Saha - #542
Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541
Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540
Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539
Models for Human-Robot Collaboration with Julie Shah - #538
Four Key Tools for Robust Enterprise NLP with Yunyao Li - #537
Machine Learning at GSK with Kim Branson - #536
The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535
Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534
Building Blocks of Machine Learning at LEGO with Francesc Joan Riera - #533
Exploring the FastAI Tooling Ecosystem with Hamel Husain - #532
Multi-task Learning for Melanoma Detection with Julianna Ianni - #531
House Hunters: Machine Learning at Redfin with Akshat Kaul - #530
Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529
Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528
Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527
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