Изучаются алгоритмы обучения с подкреплением, использующие нейронные сети.

Deep Reinforcement Learning

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

MLOps и production подход к ML исследованиям 2.0

Great jobs don’t simply fall out of the sky as soon as you’ve mastered Python, R or SQL. This year's Career section unites Data Science experts to discuss the most exciting career questions. How to become a senior in Data Science? Why is the middle not yet senior and how to become a senior? How to improve one’s soft skills and is it important at all? Star speakers, industry experts, tricky questions to the recruiters, and many more.

Career (Data Fest 2020)

A tutorial on uncertainty estimation in ML for a non-research practitioners of machine learning. Will cover basics of uncertainty estimation via ensemble methods, ensemble-emulation methods and generative methods. We will also provide a detailed case-study of an example usage of uncertainty estimation.

Uncertainty Estimation in ML

Track «From pet-project to startup» business section of Data Fest 2020.

From pet-project to startup

MTC. Your first recsys

Курс по графам знаний (Knowledge Graphs) и как их готовить в 2021 году.

Active

Deep Reinforcement Learning

MLOps и production подход к ML исследованиям 2.0

Deep Reinforcement Learning

Career (Data Fest 2020)

Uncertainty Estimation in ML

From pet-project to startup

MTC. Your first recsys

KG Course 2021