Red Hat Research Quarterly
About the author
Tomáš Effenberger is a PhD candidate in Computer Science at Masaryk University, where he also received his master’s degree. After research internships at the University of Oxford and Google AI, he became a member of the Adaptive Learning group at Masaryk University. His mission is to make learning more efficient and engaging by advancing techniques for improving adaptive learning systems.
Articles by this author
Bayesian statistical methods can make predictive data analysis more accurate. In this article, we evaluate possible solutions to the challenge of refining and increasing the value of high-volume data streams.