Course by tag

Unlock the Power of Network Inference Methods in the Real World, All in One Exciting Day!
In this introductory course, I will provide a brief overview of the two types of graphical models: undirected (Markov random fields) and directed (Bayesian networks). I will explain how these models can be applied in the real world and how to estimate (and interpret) the dependencies between variables of interest (in the form of a network) using various inference methods. We will also explore practical examples (using real data) and exercises (using R) to reinforce your learning.

Artificial Intelligence (AI) has grown from a promising research field into a widely applied technology in the last few years. Many processes and decisions in our lives are governed by algorithms: from autonomous driving, e-commerce recommendations, traffic predictions to fraud detection. It is important that AI is used correctly, to prevent privacy issues, discriminations and other harm. In this course we explain what AI is, how algorithms work, and how you select, train and implement algorithms.

Applications of text mining are everywhere: social media, web search, advertising, emails, customer service, healthcare, marketing, etc. In this course, students will learn how to apply text mining methods on text data and analyse them in a pipeline with statistical learning algorithms. The course has a strongly practical hands-on focus, and students will gain experience in using and interpreting text mining on data examples from humanities, social sciences, and healthcare.

This summer course focuses on the disruptive technology of Blockchain. The course will provide you with both the theoretical foundations as well as hands-on experience. Overall, it will be a pleasant mix of understanding the technologies and exploring and discussing the new possibilities that it has to offer to the financial sector and business in general.