MAE 146Introduction to Machine Learning Algorithms

4 units · MAE · UC San Diego

An introduction to the principles used to design and implement machine learning algorithms, as well as an understanding of their advantages and limitations. The topics covered are python review, supervised learning (linear, logistic/sigmoid regression, generalized linear models, nonlinear regression via Kernels), neural network types (convolutional, recurrent, deep NN), unsupervised learning (k-means clustering). Application of ML in different examples. Recommended preparation: ECE 143 and/or python programming knowledge.