Preparing data is a huge part of any statistical learning. In this lecture, Gael presents progress on learning representations with data tables, overcoming the lack of simple regularities. He shows how these representations decrease the need for data preparation: matching entities, aggregating the data across tables.

About AI for Ukraine:
AI for Ukraine is a charity project by AI HOUSE. For this project, we invite the world's best AI/ML experts to share their experience and raise funds to support Ukraine.

The second season was launched together with Roosh, one of the most powerful Ukrainian AI/ML tech companies.

In Season 2, you’ll have the opportunity to listen to lectures by Lukasz Kaiser [OpenAI], Gael Varoquaux [INRIA], Viktoriia Oliinyk [Oxford University] and other international experts.

Support Ukraine, donate to the Reactive Post Charity Organization: [ Ссылка ]
About AI for Ukraine & upcoming lectures: [ Ссылка ]

About AI HOUSE:
AI HOUSE is the largest and most powerful community of AI/ML enthusiasts that promotes the sharing of experience and knowledge, the acquisition of skills, the implementation of new technological and business ideas, the development of the AI industry, and the birth of product AI startups in Ukraine.

Join our community:
Linkedin: [ Ссылка ]
Twitter: [ Ссылка ]
Instagram: [ Ссылка ]
Facebook: [ Ссылка ]
Telegram channel: [ Ссылка ]

свернуть