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• Lecture - 2.3.1 Reducing Worker Effort: Active Learning – Part 1

  Machine Learning, and especially Deep Learning, models need a large number of training instances. This can be expensive even with...

• Lecture - 2.2.2 Human Input: An Essential Building Block for AI

  Human input is an essential building block for Artificial Intelligence. In this lecture, we mainly focus on data generation and...

• Lecture - 2.2.1 Data Creation and Model Evaluation in Artificial Intelligence

  We start this second module by covering how human computation can be applied in the context of Machine Learning: from...

• Lecture - 1.4.1 Factors Affecting Quality in Crowdsourcing

  Researchers and practitioners in human computation and crowdsourcing have uncovered a wide number of factors that affect the quality of...

• Lecture - 1.2.1 Crowdsourcing for High-Quality Data Collection

  Artificial Intelligence is at the centre of many recent advancements spanning domains like transportation and finance. One of the causes...

• Reading - 2.1.4 Optional: The Bernoulli Equation

  The Bernoulli Equation Welcome to the second optional content of this module! Here, we will take a closer look at why pressure...

• Reading - 2.1.2 Optional: Ballooning

  Ballooning On this page, we have some bonus content for you! In this and some subsequent chapters we will treat...

• Lecture - 1.3.1 Lecture 1D: No Easy Solutions

  To reduce the effects of aviation on air pollution and climate changes presented by Irene, Prof. Werij will look at...

• Lecture - 1.2.1 Lecture 1B: How do Aircraft Impact the Environment?

  After discussing aviation, we will now take a closer look at how aircraft impact the environment. PreviousNext

• Lecture - 3.2.3 Strategic Planning Lecture

  In the following video, the lecturer Dr. Grażyna Musiatowicz-Podbiał describes how to do strategic planning step-by-step and how to use...