Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.
Explores interview survey methods, preparation, types of interviews, question formulation, and interaction quality.
Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.
Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
