Collaborative ML model development: how to work together for better results

The Institute of Mathematical and Computer Engineering, the UC Department of Computer Science and the company Weights & Biases are pleased to invite you to the event "Collaborative development of ML models: how to work together to get better results" on January 24. The talk with free registration, which will be held at the San Joaquin Campus and will include lunch beforehand, will include a ranking competition in Kaggle with prizes for the best proposals.

Participants should bring their laptops and have access to WandB, Colab and Kaggle. Information about the talk, plus the registration link, can be found on the attached poster and below. A map of the auditorium location is also included:

Exhibitor: Thomas Capelle

Affiliation: Weights & Biases
Date: January 24, 2023, 1:30 p.m. - 3:30 p.m.
Venue: San Agustín Building Auditorium
Bio:
Thomas Capelle is a Machine Learning engineer at Weights & Biases who works on the Growth Team. He is responsible for keeping the wandb/examples repository live and up to date. His background is in Urban Planning, Combinatorial Optimization, Transportation Economics, and Applied Math.