Lectures

• 1.2.1 Crowdsourcing for High-Quality Data Collection

  Subject(s) Module 1. The Crowdsourcing Paradigm
  

• 1.2.2 The ImageNet Story

  Subject(s) Module 1. The Crowdsourcing Paradigm
  

• 1.3.1 Quality in Crowdsourcing

  Subject(s) Module 1. The Crowdsourcing Paradigm
  

• 1.3.2 Quality Control Mechanisms

  Subject(s) Module 1. The Crowdsourcing Paradigm
  

• 1.4.1 Factors Affecting Quality in Crowdsourcing

  Subject(s) Module 1. The Crowdsourcing Paradigm
  

• 2.2.1 Data Creation and Model Evaluation in Artificial Intelligence

  Subject(s) Module 2. Crowdsourcing for AI
  

• 2.2.2 Human Input: An Essential Building Block for AI

  Subject(s) Module 2. Crowdsourcing for AI
  

• 2.3.1 Reducing Worker Effort: Active Learning – Part 1

  Subject(s) Module 2. Crowdsourcing for AI
  

• 2.3.2 Reducing Worker Effort: Active Learning – Part 2

  Subject(s) Module 2. Crowdsourcing for AI
  

• 2.4.1 Interpreting and Evaluating ML Models: Part I

  Subject(s) Module 2. Crowdsourcing for AI
  

AI skills for engineers: Data creation and collection by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/data-creation-and-collection-for-artificial-intelligence-via-crowdsourcing/ /