Visiting Science Scholar Seminar Series 2018 – Inspiration of AlphaGo - Machine Learning: From Efficiency to Intelligence 訪問科學家講座系列 – AlphaGo的啟示一機器學習：從提升效率到鬥智鬥力

Dr. Zhang Kun
Assistant Professor, Department of Philosophy, Carnegie Mellon University

15 March 2018 (Thu) | 17:30 - 19:00 | LBYG01

Machine learning uses computer programs to automatically learn from experience and adapt to new data with no or very little human interference. It includes learning to perform various types of tasks, including making prediction, automatically dividing data into groups, and playing a game against an opponent. In the past decades machine learning has greatly reshaped our lives, and very recently has received much attention all over the world because of AlphaGo and other applications of deep learning. This seminar will cover basic tasks of machine learning, how they can be performed, and their potential applications. In particular, it will introduce a subfield of machine learning which aims to discover causal knowledge from observed data and makes use of such knowledge to develop more intelligent learning techniques. 
 

Language: English and Putonghua