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ML4Design
Home
Lectures
Lecture 1: AI and ML in IPSSs (design)
Lecture 2: Fundamentals of Machine Learning
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 1a: Image Processing Methods for IPPSs
Preparation
Tutorial
Tutorial 1b: Teachable Machine
Preparation
Tutorial
Tutorial 2: Text Processing
Preparation
Tutorial
Tutorial 3: Creating Machine Learning Models with Structured Data
Preparation
Tutorial
Assignments
Assignment 1: Image Processing
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)
Previous Editions
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Lectures
Lecture 8: Design and Develop Machine Learning Models /2
Design and Develop Machine Learning Models /2
Experience
Random Forest Demonstrator
K-Means Clustering interactive Demo
Another k-means Demo
Yet another interactive clustering demo
Lecture Slides
Lecture 8 PDF
(PDF - 5Mb)