by Toloka | Nov 14, 2022 | Uncategorized
One of the most popular e-commerce tasks today is search relevance evaluation. Online marketplaces rely on search algorithms to improve the customer experience, but evaluating search data is challenging. Dmitrii will talk about pitfalls to avoid and share insider tips...
by Toloka | Oct 7, 2022 | Uncategorized
Data-Driven AI Meetup 3: Easy ML monitoring with Toloka Boris Tseytlin, ML Research Scientist. In this video Toloka Boris will explain how to use Toloka to detect data drifts and model degradation. During this hands-on tutorial, you will learn how to set up dependable...
by Toloka | Aug 15, 2022 | Uncategorized
In this talk we’ll look at why contextual relevance in ad ranking and ad targeting is a must-have for a successful ad campaign; what are the current state-of-the-art machine learning solutions in the field of contextual advertising and ad ranking; and how...
by Toloka | Jun 29, 2022 | Uncategorized
Supervised Machine Learning projects typically require labeled data to train the algorithms. You want to use high-quality data that corresponds to the problem you are trying to solve. But how do you obtain this kind of data? In this session, Magdalena Konkiewicz shows...
by Toloka | May 23, 2022 | Uncategorized
AI today rests on three pillars – ML algorithms, the hardware on which they’re run, and the data for training and testing the models. While the first two pose no obstacle as such, obtaining high-quality up-to-date data at scale remains a challenge. One of the ways to...
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