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AMT305 previous year question papers
AMT305 syllabus
This course enables the learners to understand the advanced concepts and algorithms in machine learning. The course covers the standard and most popular supervised learning algorithms such as linear regression, logistic regression, decision trees, Bayesian learning and the Naive Bayes algorithm, basic clustering algorithms and classifier performance measures. This course helps the students to provide machine learning based solutions to real world problems.
Prerequisite: Basic understanding of probability theory and linear algebra Mapping of course outcomes with program outcomes
Course outcomes
| CO | Outcome | Level |
|---|---|---|
| CO1 | Illustrate Machine Learning concepts and basics of supervised learning concepts.Apply | Apply |
| CO2 | Describe dimensionality reduction techniques and supervised learning concepts (regression, linear classification).Apply | Apply |
| CO3 | Solve real life problems using appropriate machine learning models and evaluate the performance measures and Illustrate the concepts of Multilayer neural network .Apply | Apply |
| CO4 | Illustrate basics of parameter estimation models and the working of classifier SVM classifier modelApply | Apply |
| CO5 | Describe unsupervised learning conceptsApply | Apply |
Departments that study AMT305
- Artificial Intelligence (S5)
- AI & Data Science (S5)
- Computer Science and Engineering (Artificial Intelligence and Data Science) (S5)
- Computer Science – AI/ML (S4)
- Computer Science and Engineering (Artificial Intelligence) (S4)
- Artificial Intelligence & Machine Learning (S5)
Frequently asked questions
Which KTU scheme is AMT305 in?
Introduction to Machine Learning (AMT305) is in the KTU 2019 scheme and is a PCC course.
How many credits is Introduction to Machine Learning?
Introduction to Machine Learning (AMT305) carries 4 credits.
Which semester is AMT305 taught in?
AMT305 is taught in S4, S5. The semester differs between departments.
Where can I download AMT305 previous year question papers?
This page lists 1 AMT305 question paper. Select them and download as a ZIP or one merged PDF. It is free and needs no sign-up.
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