School in brief
Intensive Training School
Join our school in order to get practical skills in working with data and building data-driven models, as well as to become familiar with modern tools in this area.
One week of lectures and tutorials to learn new skills
Interactive classes and communication with students from different parts of the world
Guidance support from the school team
Possibilities to expand your network
2 ECTS and a certificate
Being beyond the hype of Machine Learning: Trust, Fairness and Transparency as a Sauce for your ML salad
Klavdya Bochenina, PhD, Associate Professor of ITMO University
Sergey Kovalchuk, PhD, Associate Professor of ITMO University
Unit is aimed at mastering competencies for applying modern ML methods and techniques to achieve high quality, reliability and scalability of solutions for real-world problems in different domains.
Trends and Challenges in Modern Deep Learning
Methods for Trusted Machine Learning
Intelligent Technologies for Recommender Systems and Decision Support
Mining of Domain-Specific Textual Data
Machine Learning for Complex Networks
Brewing the data: lactose-free data-milk for your ML capuchino
Anna Kaluyzhnaya, PhD, Associate Professor of ITMO University
Unit is aimed to train advanced knowledge and skills in usage of well-known popular methods and design of own approaches for data preparation, correction, transformation, etc. in ML life cycle.
Statistical properties of datasets that are good/bad for data-driven modelling
Methods for data preprocessing, “cleaning” and anomalies detection
Methods for unsupervised learning and pattern recognition
Methods for synthetic data generation