Machine learning is a fascinating scientific discipline concerned with the design of algorithms that enable a computer to automatically learn and improve with experience. Learning algorithms operate by recognizing complex patterns in data, which can then be applied to make intelligent decisions. As the amount of electronic data grows, so does the importance of machine learning. In fact, machine learning is one of the fastest-growing subareas of artificial intelligence, and is the core technology underlying many successful software applications, such as speech recognizers, spam filters, and product recommendation systems.
In this talk, Dr. Ng will give you an overview of the basics of machine learning, including its major paradigms, some of its successful stories, and the inner workings of one of the earliest machine learning algorithms that was popularly used in the 1990s.