Introduction to Supervised Learning with MATLAB скачать в хорошем качестве

Introduction to Supervised Learning with MATLAB

The seminar is held by Federico Masiero, MATLAB Student Ambassador of the University of Pisa. This online seminar will provide a general introduction to Supervised Learning, playing with the MATLAB built-in function. Contents of the seminar are mainly taken from the online self-paced course Machine Learning with MATLAB, with extra contents to understand/review the theoretical background. Event date. 6th of May, 2020 We are going to discuss two subgroups of analysis, belonging to Supervised Learning, which are Classification and Regression. Specifically, after a basic introduction of few core concepts, we are going to discuss how some supervised learning algorithms work, like k-Nearest Neighbor, Decision Trees, Support vector Machines and others. The seminar will also provide Demos to recap these concepts and to see them applied in the resolution of few problems. The presentation lasts 2 h and it is intended to be for beginners in the field. However, I added few extra contents, expecially in the demo, hoping that this presentation would be interesting also for those already familiar with these topics. The material of the seminar can be found here: https://drive.google.com/drive/folder... Join the Facebook group MATLAB UniPi:   / 535470110434587