Machine Learning
| Hours: 3 0 3 |
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“Supervised Learning, Discriminative Algorithms, Generative Algorithms, Support Vector Machines, Learning Theory, Online Learning and the Perceptron Algorithm, Unsupervised Learning, Mixture models, Factor Analysis, Principal Components Analysis, Independent Components Analysis, advanced topics in ML.
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| Pre-requisites: none | Co-requisites: none |
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Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course
