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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)
Assignment 4: AILIXR
Previous Editions
Lectures
Lecture 2: Fundamentals of Machine Learning
Fundamentals of Machine Learning
Preparatory Reading Material
Mix & Match Machine Learning: An Ideation Toolkit to Design Machine Learning-Enabled Solutions
Experience
Ask Delphi
Delphi is a research prototype designed to model people’s moral judgments on a variety of everyday situations. This demo shows the abilities and limitations of state-of-the-art models today.
NVIDIA AI Demos
Several cool demos from the NVIDIA research team
Mix and Match ML Tookit
It will be used during the Friday’s lecture
Lecture Slides
Lecture 2 PDF
(PDF - 60Mb)
Lecture Notes
Lecture Notes
(Web)
Additional Reading Material
Trustworthy Machine Learning: Machine Learning Lifecycle
Machine Learning + Design
Pointers to several interesting resource, developed by designers for designers