Ground Truth Keynote - Great Disasters of Machine Learning

This course covers the great disasters of machine learning, highlighting mistakes, failures, and the learning expectations gap. It discusses examples such as the unprofessional hair and false victories in Google's machine learning projects. The course aims to provide insights on how to fix these issues and introduces a trusted reflective learning model. The teaching method includes a keynote presentation with a duration of 32 minutes. The intended audience for this course is individuals interested in machine learning, data science, and technology ethics.