Skip to main content
Link
Menu
Expand
(external link)
Document
Search
Copy
Copied
ML4Design
Home 2021/2022
Lectures
Lecture 1: AI and ML in IPSSs (design)
Lecture 2: Fundamentals of ML
Lecture 3: Image Processing Methods
Lecture 4: Image Processing Methods
Lecture 5: Natural Language Processing
Lecture 6: Natural Language Processing
Lecture 7: Design and Develop Machine Learning Models /1
Lecture 8: Design and Develop Machine Learning Models /2
Lecture 9: Designing iPSSs that include Machine Learning technology
Tutorials
Coding Environment
Tutorial 1: Image Processing Methods for IPPSs
Preparation
Tutorial
Tutorial 2: Text Processing
Preparation
Tutorial
Tutorial 3: Creating Machine Learning Models with Structured Data
Preparation
Tutorial
Assignments
Assignment 1: Image Processing Methods for IPPs
Individual Assignment
Group Assignment
Grading Rubric (Group Assignment)
Assignment 2: Text Processing
Individual Assignment
Group Assignment
Grading Rubric (Group Assignment)
Assignment 3: Creating Machine Learning Models with Structured Data
Individual Assignment
Group Assignment
Grading Rubric (Group Assignment)
Go to current edition
Lectures
Lecture 3: Image Processing Methods
Image Processing Methods
Preparatory Reading Material
A good list of
videos showing application examples
of Computer Vision technology.
Experience
Microsofor Computer Vision Demos
Microsoft Video Analyser Demo
MorphCast JS SDK Demo
Lecture Slides
Lecture 3 Slides
(PDF - 47 Mb)
Lecture Notes
Work in Progress
Additional Reading Material
Supervised Learning