Лучшие из лучших в 2020 году

🎄ODS Awards 2020 ⭐

Graph Machine Learning is the science between graph theory and machine learning. It is now a very active area of research, with hundreds of publications each month, impactful applications in the industry, and new insights about our world. Intersection of graph theory and machine learning. Overview, SOTA, applications.

Graph ML

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

A lot of people in ODS contribute to open source projects, or even create their own. In this track they will tell us about their projects and we will discuss open source in general and in data science world specifically.

Open Source

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

Active

🎄ODS Awards 2020 ⭐

Graph ML

Uncertainty Estimation in ML

Open Source

KG Course 2021