Lectures

• 2.1.3 Scale Equivariance for Computer Vision

  Subject(s) Module 2: AI in Practice: Preparing for AI
  

• 2.1.4 Data-efficient reinforcement learning

  Subject(s) Module 2: AI in Practice: Preparing for AI
  

• 2.2.1 Questions for Data Scientists in Software Engineering

  Subject(s) Module 2: AI in Practice: Preparing for AI
  

• 3.1.1 UNESCO: Ethics of Science and Technology?

  Subject(s) Module 3: AI in Practice: Preparing for AI
  

• 3.1.2 Ethics in an organizational context

  Subject(s) Module 3: AI in Practice: Preparing for AI
  

• 3.1.3 Compliance & Ethics at ING

  Subject(s) Module 3: AI in Practice: Preparing for AI
  

• 3.1.4 How to measure classification bias to answer fairness

  Subject(s) Module 3: AI in Practice: Preparing for AI
  

• 3.1.5 Trustworthy AI in medical imaging

  Subject(s) Module 3: AI in Practice: Preparing for AI
  

• 4.1.1 The context of the AI in FinTech Research

  Subject(s) Module 4: AI in Practice: Preparing for AI
  

• 4.1.2 Towards a data driven organization: IT Operations Analytics

  Subject(s) Module 4: AI in Practice: Preparing for AI
  

AI in Practice: Preparing for AI 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/ai-in-practice-preparing-for-ai/ /