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Think you can prove that our WSDM (Web Search and Data Mining) challenge doesn't have to be hard for machines? Let's share ideas and refreshments and get ready to win!
Humans are naturals at CV and NLP tasks, but equivalent ML solutions require huge datasets, well-designed architectures and plenty of time for training and fine-tuning. Are researchers close to finding ML models outperforming human labeling in fields like CV and NLP?
Our guest speaker, Evgeniya Sukhodolskaya, Data Evangelist at Toloka AI, will share how these questions were answered by research teams at Toloka and tell you about the challenges they took on when designing the WSDM 2023 Cup Toloka challenge.
Evgeniya is a Data Evangelist at Toloka AI, a global tech company that offers a unified environment to support data-related processes across the entire machine learning lifecycle. Evgeniya’s background is in Artificial Intelligence & Data Engineering, with a broad range of experience as a developer analyst, machine learning engineer, solution architect, and business analyst.
Registration details: The in-person ticket includes a delicious aperitif (hint: 🍔🥟🍹) but spots are limited, save yours now! In case you are no longer able to attend, we kindly ask you to un-RSVP via the button above.
We cannot wait to see you there and learn from our speaker!
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