Digital Humanities Lab
Digital Machine Learning
The course, lead by Dr. Dirk Wulff, will take place in digital format. The two day-program will comprise synchronous and asynchronous work units, between 9 AM-6 PM.
Please contact Irène Kälin for application (see e-mail address below).
Machine Learning with R. Learn to build predictive algorithms with R for social sciences and humanities
Machine learning is the basis for groundbreaking developments and technologies in business and many branches of research, including social sciences and humanities. Would you like to know what makes machine learning so successful and how you can reap its benefits using the open programming language R?
In this an intensive course, you will learn the fundamental principles of machine learning and how to apply them using R: from reading-in data, to the application of various algorithms and their evaluation based on key performance measures. You will learn about the characteristics of popular algorithms such as regression, decision trees, and random forests. You will hear about recent developments, such as Deep Learning, and gain an overview over typical machine learning problems, such as regression, classification, and clustering, and discuss with us the risks and benefits of machine learning for society and business.
Veranstaltung übernehmen als iCal