Современные подходы и инструменты для исследований на данных, разработки и внедрения ML-решений в production.

MLOps и production в DS исследованиях 3.0

Присоединяйтесь к Mattermost чату сообщества Open Data Science!

🆕 ODS Mattermost 🆕

Дизайн систем машинного обучения. Введение для начинающих.

ML System Design. Autumn 23/24

Опыт применения ML в реальных задачах Яндекса

Practical ML 2023

Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

Deep Reinforcement Learning

mlcourse.ai is an open Machine Learning course by OpenDataScience (ods.ai), led by Yury Kashnitsky (yorko). Having both a Ph.D. degree in applied math and a Kaggle Competitions Master tier, Yury aimed at designing an ML course with a perfect balance between theory and practice. Thus, the course meets you with mathematical formulae in lectures and a lot of practice in a form of assignments and Kaggle Inclass competitions. In 2017-2019, some 26k people participated in active course sessions offered twice a year, and ~1500 finished the course. ODS has witnessed multiple stories about the course changing careers of those who had passed it. Currently, the course is in a self-paced mode. Here we guide you through the self-paced mlcourse.ai.

Active

MLOps и production в DS исследованиях 3.0

🆕 ODS Mattermost 🆕

ML System Design. Autumn 23/24

Practical ML 2023

Deep Reinforcement Learning

Open Machine Learning course mlcourse.ai (self-paced)