Weights & Biases: a tool to track, compare, and visualize ML experiments with Morgan McGuire

March will be a month dedicated to tools in Machine/Deep Learning. We will kick it off with the exploration of Weights & Biases - an MLOps platform that powers building better models faster with experiment tracking, dataset versioning, and model management. In this meetup, Morgan will walk you through ML tools to show how to track, compare and visualize ML experiments in practice. After the walkthrough, we invite you to participate in a live competition to give you a taste of how to use W&B tracking & Kaggle, and where you’ll have the chance to win prizes 🏆 Competition: Beans Classification 🔺 The competition is run online during the meetup after a walkthrough of W&B’s tools 🔺 Your goal is to classify between 7 different varieties of beans - tabular dataset 🔺 A starter colab is provided 🔺 Submissions are made via Kaggle InClass competitions 🔺 Data and colab are stored on the wandb/Growth private GitHub 🔺 The top 10 winners get a prize Speaker: Morgan McGuire (