Statistics 344NE - Seminar in Statistics and Scientific Research: 'Introduction to Neural Networks'

Neural networks are some of the most commonly used models in statistical and machine learning. They have been employed in applications ranging from image classification to time series prediction. In this course we will develop neural networks as statistical models that are closely related to multiple regression and logistic regression, and we will use tools from calculus and linear algebra to understand algorithms for parameter estimation. In applications, we will work with the Keras library in Python.

Prereq: MATH-203, MATH-211, and STAT-242.