In this hands-on workshop, we’ll learn how to do experiment tracking with Weights & Biases, manage our models, perform hyperparameter optimization, and share our results with our co-workers.

We’ll cover the following steps:

Experiment tracking, and with Weights & Biases
Insightful hyperparameter optimization with Weights & Biases
Model Management with Weights & Biases Model Registry

By the end of this workshop, you’ll be able to track and manage your experiments with Weights & Biases.

About the speaker:

Soumik is a Machine Learning Engineer working on end-to-end deep learning pipelines as part of the Growth team at Weights & Biases. His research and development interests include Generative Machine Learning Models, Video Enhancement Systems, Neural Radiance Fields, and NLP-based solutions to improve and automate student evaluation in the education sector. He enjoys implementing research papers in machine learning and computer graphics and communicating such ideas using end-to-end notebooks, and articles. He’s also working on training machine learning models on TPUs using Jax, Flax, Tensorflow, and Keras.

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This event is sponsored by Weights and Biases

MLOps Zoomcamp - Experiment Tracking with Weights and Biases

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