12 September 2020
Brewing the Dataonline course
Course in brief:
Learn how to take everything you can from your dataset and make it even better.
• 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
Anna Kaluyzhnaya, PhD, Associate Professor of ITMO University
Last year bachelor students, master students and young scientists
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.
EUR 100: Fee is for the whole school (two courses)