Introduction to machine learning
Grigor Aslanyan (Google LLC)
Abstract: In this talk I will give a general introduction to machine learning for math students, with a focus on the statistical foundations. We will discuss supervised and unsupervised learning, some examples of commonly used models, such as linear and logistic regression, decision trees, and deep neural networks. We will go over training and evaluation methods, bias versus variance, and the bootstrap. We will also discuss common application areas.
ArmenianMathematics
Audience: general audience
Yerevan Mathematical Colloquium
Series comments: "Yerevan Mathematical Colloquium" invites survey talks aimed at a general mathematical audience, that emphasize proof methods, relations between branches of mathematics, possible applications, and open problems.
Organizer: | Armen Vagharshakyan* |
*contact for this listing |