Workshop: How to build Machine Learning collaboratively and create ML demos
We will transfer the funds to Ukrainian verified humanitarian aid foundations to Ukraine 🇺🇦
Workshop description:
The transformers have caused a change of paradigm within NLP and are impacting other domains as well. In this workshop, Thomas will give a brief recap of the importance of transformers and transfer learning, and will then talk about open science efforts as well as tools to enable people to work collaboratively in their Machine Learning projects. Finally, Thomas will show how to build ML demos collaboratively, opening the doors to building ML portfolios and showcasing work to stakeholders.
Approximate duration: 1,5 hours. Starts on May 5, at 2:30 p.m. till 4 p.m. (GMT+3).
The event will be held in English.
The workshop is run fully online, using Zoom and various online collaboration tools.
Audience:
This workshop will be useful for developers, who are interested in Machine Learning.
Requirements:
- Basic knowledge of Python
- Conceptual knowledge of ML
In order to better follow the workshop, it is better to have:
- A google Colab account
- A Hugging Face Hub account
Speaker Thomas Wolf
— Thomas Wolf is co-founder and Chief Science Officer of HuggingFace. The tools created by Thomas Wolf and the HuggingFace team are used across more than 5000 research organisations including Facebook Artificial Intelligence Research, Google Research, DeepMind, Amazon Research, Apple, the Allen Institute for Artificial Intelligence as well as most university departments;
— Thomas Wolf is the initiator and senior chair of the largest research collaboration that has ever existed in Artificial Intelligence: “BigScience” as well as a set of widely used libraries and tools;
— Thomas Wolf is also a prolific educator and a thought leader in the field of Artificial Intelligence and Natural Language Processing, a regular invited speaker to conferences all around the world;
We’d love to see you there, so please buy a ticket to secure your spot!