Machine Learning For Engineers

3 credits · Graduate

The class introduces Machine Learning (ML) for engineers. After a review of linear algebra, calculus, probability, and classic machine learning, the class will focus on deep learning starting with simple multilayer perceptron’s and ending with modern convolutional neural networks (CNNs). Datasets for engineering problems will be utilized in this course. FORMATS: Lecture