Course by tag

Introduction to Graphical Models (for Network Inference) in R: Markov random Fields and Bayesian Networks

Probabilistic graphical models (PGMs) represent the world in a simple way that humans can understand better.

They are graphical representations to understand the complex relationships between a set of random variables of interest (nodes). The edges that connect these nodes show the statistical dependencies between them.

PGMs have numerous applications in social and behavioral sciences, life sciences, economics, computer science, and many more fields.

In this introductory course, two types of graphical models are briefly introduced: undirected (Markov random fields) and directed (Bayesian networks). I will discuss how we can apply these models to estimate the dependencies between variables of interest in the form of a network. We will review excellent real-world examples and exercises (using R) to reinforce learning.

This course will open a new door for you and enable you to see the dependencies from a network point of view, which is much more comprehensive.

Introduction to Artificial Intelligence, Machine Learning and Neural Networks

Artificial Intelligence (AI) has grown in the last few years from a promising research field into a widely applied technology. 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.

Data Science: Introduction to Text Mining with R

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.

Business Innovation with Blockchain

Can your personal data be considered safe with companies, banks, notaries or even government? Numerous examples of scams, fraud, money laundering and data theft make it clear that this is not always the case. Blockchain offers a revolutionary solution to this problem.

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.

Being the proud winner of the 2022 Dutch Blockchain Awards 2022 “Meaningful Education Award”, we offer the best blockchain education of the Netherlands. During this summer school you will get a crash course into the blockchain basics.