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.

School Highlights

• 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
• Awards for winning teams: certificates from Amazon for three best teams (500, 250 and 150 Euro for the team)

 

Being beyond the hype of Machine Learning: Trust, Fairness and Transparency as a Sauce for your ML salad

Unit leaders:

   

Klavdya Bochenina, PhD, Associate Professor of ITMO University

Sergey Kovalchuk, PhD, Associate Professor of ITMO University

Objective:

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.

Content

• 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

Unit leader:

Anna Kaluyzhnaya, PhD, Associate Professor of ITMO University

Objective:

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.

Content:

• 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