16-20 hours/week




Customize your search:

E.g., 2016-10-28
E.g., 2016-10-28
E.g., 2016-10-28
Oct 31st 2016

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

No votes yet
Oct 24th 2016

Explore the structure and function of the human central nervous system. Learn why knowledge of human neuroanatomy, neurophysiology, neural plasticity, and new discovery in the brain sciences matters for clinical practice in the health professions.

Average: 7.1 (13 votes)