Speakers

«How to survive the Titanic?» This shot workshop is intended to provide You with knowledge of basics in Statistic, Machine Learning, Data Mining with the usage of state-of-the-art models such that Decision Tree and Random Forest for classification task. Target audience: 1+ month experience in Python; Intermediate English. Learning outcomes: Basic understanding of Machine Learning; Hands-on experience with the state-of-the-art models Decision Tree and Random Forest.



We'll run through the overview of the DB basics, ways to operate with, and main use cases. In a nutshell we will cover how relational databases organize structured data, how NoSQL databases handle unstructured data, and the benefits of distributed databases for scalability and fault tolerance.







