Introduction to Machine Learning

This lecture introduces the concept of Machine Learning, covering its definition, historical background, and key tasks and goals. It explores examples such as Deep Blue defeating the chess world champion and AlphaGo beating the Go world champion. The lecture delves into the origins of Machine Learning in the 1960s and its relationship with Statistics. It also discusses the use of Machine Learning in various applications like handwritten digit recognition, object recognition, and cancer detection. Additionally, it touches on the role of platforms like Amazon Mechanical Turk in generating labeled data for Machine Learning tasks.