The main attention in the process of mastering the course is directed to the formation of the most important practical skill - identification of risks of the problem under consideration in the complex and in the interrelation of its various aspects. For example, when studying bonds, many issues are considered, concerning not only the issue of these securities, but also the consequences of the bond issuer’s failure to fulfill its obligations to pay interest and repay the face value of the bonds.

Everyday across the world, thousands of businesses are victimized by fraud. Who commits these bad acts? Why? And, how? The course are going to help answer the questions: who commits fraud, why and how. Also it helps develop skills for catching them.

• Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
• Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
• Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)

The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. They want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.