Track, Visualize, and Improve ML Experiments with Weights & Biases

Coming up is an exiting virtual workshop conducted by Thomas Capelle, a top machine learning engineer at Weights and Biases! In this workshop, you'll get hands-on experience with Weights and Biases and learn how to take your machine-learning experiments to the next level. In the end, we'll have an interactive competition where you can win unique Weights & Biases swag (shipped directly to you)! πŸŽ‰

Mar 8, 2023, 5:00 – 7:00 PM

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Key Themes

Explore MLMachine Learning

About this event

Join us for an exciting virtual workshop where you'll learn from Thomas Capelle, a top machine learning engineer at Weights and Biases, who works on the Growth Team. In this workshop, you'll get hands-on experience with Weights and Biases and learn how to take your machine-learning experiments to the next level.

Thomas will lead a walkthrough where you'll learn how to use Weights and Biases to track and visualize your experiments, debug your models, and make better decisions. He'll also share his expertise on ML-Ops, the applications of W&B to the industry, and fun deep learning.

After the walkthrough, we'll have an interactive competition where you can put your skills to the test and win unique Weights & Biases swag (shipped directly to you)! πŸŽ‰πŸŽ‰πŸŽ‰

Whether you're a seasoned machine learning practitioner or just starting out, this workshop is perfect for anyone looking to improve their skills and make ML more fun and reproducible with Weights and Biases. So don't miss out on this opportunity to learn from one of the top machine learning engineers in the industry and connect with like-minded individuals!

Weights & Biases is free for personal use and academic projects and easy to start. You do not need to install anything on your laptop, as you will be provided with Google Colab notebooks. Everything else will be explained at the event!

To learn more about Weights & Biases you can check out their website!

Speaker

  • Thomas Capelle

    Weights & BIases

    Machine Learning Engineer

Partner

GDSC ETH Zurich logo

GDSC ETH Zurich

Organizers

  • Philip Rehker

    GDSC Lead

  • Tan-Colin Wei

    GDSC Lead

  • Layla Zadina

    Core Team Member

  • Florian Hoppe

    Core Team Member

  • Justus Beck

    Core Team Member

  • Mohammad (Hamudi) Naanaa

    Core Team Member

  • Maria Pospelova

    Core Team Member

  • Philipp Zagar

    Core Team Member

  • Simon Huang

    Core Team Member

  • Florian Donhauser

    Core Team Member

  • Muhtasham Oblokulov

    MunichNLP

    Core Team Member

  • Maksym Bondarenko

    TUM

    Core Team Member

  • Alexander Wiener

    Core Team Member

  • Yassine Souissi

    Core Team Member

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