Продвинутые подходы и инструменты для разработки и внедрения ML-решений в production.

MLOps и production подход к ML исследованиям

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.

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

Расскажем и покажем на практике, как мы умеем применять ML алгоритмы в различных областях жизни - от чисто бизнесовых вопросов до исследования космических частиц. Не забудем также затронуть вопросы жизненного цикла моделей и важности его автоматизации.

Various ML applications: RecSys, MLOps, NLP, Physics, Geo

AIJ Contest - an international online data analysis and AI competition held among industry developers and experts worldwide since 2016.

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MLOps и production подход к ML исследованиям

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

Various ML applications: RecSys, MLOps, NLP, Physics, Geo

AIJ Contest