The students will have an in depth understanding of the machine learning techniques used on structured data (input and output). They will be able to…
The course introduces students to the basic principles that should be acquired to mathematicians, statisticians, economists and financiers and others…
The study course covers the theoretical and practical principles of high-performance computing in the context of cybersecurity by using graphics…
Machine learning is the process of developing and applying predictive algorithms to predicting future outcomes using available training data. Machine…
The goal of the course is to understand the methods of distributed and parallel processing, the possibilities to paralelise sequential execution,…
The course is devoted to the construction of artificial neural networks and includes the following sections: Biological neuron; Artificial neuron;…
Message Passing Interface (MPI) is a standardized and portable message-passing standard designed to function on parallel computing architectures.…
The aim of the course is for the students to become familiar with the basics of modern machine learning techniques. Upon completion of the course,…
The module is devoted to intelligent computer technologies and includes the following sections: Genetic algorithms for symbolic information…
Introduction to methods for identifying valid, novel, useful, and understandable patterns in data. Data preprocessing Induction of predictive models…
Our goal is to demystify AI. The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to…
