ELL409
| ELL409 | |
|---|---|
| Machine Intelligence and Learning | |
| Credits | 4 |
| Structure | 3-0-2 |
| Pre-requisites | MTL106, COL106 |
| Overlaps | ELL784, ELL789, COL341/COL774 |
ELL409 : Machine Intelligence and Learning
[edit]Introduction to machine intelligence and intelligent agents; problem solving; knowledge representation and reasoning (logical and probabilistic); need for learning; basics of machine learning; Decision Trees; Rule-based models; linear learning models; Support Vector Machines; Artificial Neural Networks; Deep Learning; Probabilistic Modelling; Naive Bayes; Reinforcement Learning; Clustering; Feature Selection; Principal Component Analysis; Combining models; Philosophical issues in intelligence and learning. Substantive implementation assignments or a term project involving design of an intelligent learning-based system.