Machine learning is a branch of computer science that aims to develop algorithms and statistical models that can give computers the ability to learn and make predictions or make decisions automatically, without any explicit instructions. From the perspective of mathematical statistics, machine learning utilizes statistical concepts, techniques, and theories to formulate mathematical models that can be applied to data. In order to broaden students' insight into the concept of machine learning in the perspective of mathematical statistics, PUI-PT Combinatorics and Graph invited Professor I Made Tirta, M.Sc., Ph.D. as guest lecture presenter. Prof. Made is a professor of statistics and a lecturer at the Department of Mathematics, University of Jember.

Mathematical statistics is a branch of mathematics that deals with the analysis, interpretation and modeling of data. In mathematical statistics, we use concepts such as probability, distribution, estimation, and hypothesis testing to analyze data and draw conclusions, said Prof Made. Machine learning makes use of mathematical statistics in various aspects. First of all, in the data pre-processing stage, mathematical statistics are used to analyze and present the data descriptively. For example, mathematical statistics allows us to calculate the mean, variance, and correlation between variables in a dataset. Prof. Made hopes that with this guest lecture, he can establish joint research with Prof. Dafik. Especially research in the field of graph neural networks, which is currently a major research topic at PUI-PT Combinatorics and Graph.

This webinar also available on youtube with this link: (143) Machine Learning dalam Perspective Matematika Statistik - YouTube