ML in Marketing: ML для задач маркетинга. Привлечение, удержание, работа с узнаваемостью, где вашему бизнесу пригодится ML уже сегодня.

ML in Marketing

Трек для глубокого изучения рекомендательных систем на практике

Your Second RecSys

Дизайн систем машинного обучения. Введение для начинающих.

ML System Design. Autumn 22/23

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)

Опыт применения ML в реальных задачах Яндекса

Practical ML

Reinforcement Learning in a Nutshell. Games, articles, production - choose wisely.

Reinforcement Learning

Использование обработки естественного языка в практике

NLP in industry

Generative NLP

Catalyst - PyTorch framework for Deep Learning research and development.
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Reinforcement learning in a Nutshell: games, articles, production - choose wisely.

Catalyst and Reinforcement Learning

Всё про карьеру и найм в DS от индустриальных топов

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