Курс о линейной зависимости: поговорим о линейной и логистической регрессиях, метриках, валидации, генерации признаков и применим знания в конкурсе "Турникеты".

Open ML Course: Линейные модели 2023

Долгожданное продолжение курса «Линейный модели»!

Open ML Course: Деревья и их ансамбли

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)

Митап ODS Reliable ML по АБ-тестированию и Causal Inference - 17 декабря 2022 г.

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Open ML Course: Линейные модели 2023

Open ML Course: Деревья и их ансамбли

ML System Design. Autumn 22/23

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

Reliable ML AB Testing & Causal Inference Meetup