ELL409 Machine Intelligence and Learning

Credits: 4 (3-0-2)

Prerequisites: MTL106, COL106

Overlaps with: ELL784, ELL789, COL341/COL774

Description

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.

Prerequisite Tree

flowchart TD
ELL409-332[ELL409]
COL106-332 --> COL100-332[COL100]
ELL409-332 --> MTL106-332[MTL106]
ELL409-332 --> COL106-332[COL106]

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