Zero-Shot Learning Through Cross-Modal Transfer | ML Paper 1

Welcome to another BigNumber session, everyone!

We are happy to announce that BigNumber has joined the Google ML Ecosystem network.

As part of the global 'ML Paper Reading Clubs campaign' (#MLPaperReadingClubs) by the Google ML Ecosystem team, we are going to run the ML Papers sessions, where we will go through select papers on machine learning with the motivation to learn and research topics in machine learning.

In this very first ML Papers session, you will learn how to read and learn from research papers on machine learning. In particular, you will learn to take notes and better understand the mathematics of machine learning.

Paper:
'Zero-Shot Learning Through Cross-Modal Transfer' by Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, and Andrew Y. Ng.

Agenda:
1 - Introduction to Arxiv (www.arxiv.org/)
2 - Best Practices for Reading Research Papers
3 - Taking Notes in Markdown and Latex
4 - Zero-Shot Learning Through Cross-Modal Transfer

More information about the 'ML Paper Reading Clubs campaign' will be shared soon.

Make sure to join the BigNumber slack channel to participate in discussions and stay up-to-date about upcoming sessions and courses at BigNumber.

Slack channel,
join.slack.com/t/bignumber/shared_invite/zt-h9abua…

To learn more about BigNumber, visit www.bignumber.xyz/.