Introduction: Applied Machine Learning

This lecture introduces the concept of applied machine learning, covering topics such as fast object catching, self-collision avoidance in humanoid robots, class formats including interactive sessions and exercises, software tools for machine learning demos, and practical aspects like using TurningPoint for polling. Students are encouraged to engage in interactive learning, participate in quizzes, and install necessary software for the course.