Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recom
Goals of this course is to implement and experiment with existing algorithms for learning control policies guided by reinforcement, demonstrations and intrinsic curiosity. Eva
Nearly every problem in machine learning and computational statistics can be formulated
in terms of the optimization of some function, possibly under some set of constraints.
In this course, we first provide a comprehensive overview of memory systems, taking an approach that covers both fundamentals and recent research. We first introduce fundament
Statistical Machine Learning,10-702/36-702, is a second graduate level course in advanced machine learning. The term “statistical” in the title reflects the emphasis on st
Let's get real and talk about hardware acceleration for database management systems. We are flexing hard with another season of database technical talks at Carnegie Mellon Uni
This course is a comprehensive study of the internals of modern database management systems. It will cover the core concepts and fundamentals of the components that are used i
This course,15-445/645 Intro to Database Systems, is on the design and implementation of database management systems. Topics include data models (relational, document, key/val
SignUp
