Ad
related to: daphne koller coursera englishGain the skills to prepare for an industry-recognized certification exam. Apply your new skills to real-world projects using the latest industry tools & techniques.
Search results
Daphne Koller is the founder and leader of CURIS, Stanford's summer research experience for undergraduates in computer science - a program that has trained more than 500 students in its decade of existence.
Daphne Koller (Hebrew: דפנה קולר; born August 27, 1968) is an Israeli-American computer scientist. She was a professor in the department of computer science at Stanford University and a MacArthur Foundation fellowship recipient. She is one of the founders of Coursera, an online education platform.
There are 7 modules in this course. 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 ...
- (1.4K)
- Partially Free
Probabilistic Graphical Models 1: Representation. This course is part of Probabilistic Graphical Models Specialization. Taught in English. 22 languages available. Some content may not be translated. Instructor: Daphne Koller. Enroll. Starts May 23. Sponsored by Samsung Research, Bangalore.
People also ask
Who is Professor Daphne Koller?
Who is Daphne Koller & Andrew Ng?
Is Coursera a good learning platform?
Who is Daphne Koller married to?
May 1, 2024 · More than 30 years ago, Daphne Koller was the first machine learning hire in Stanford University’s Computer Science department. Now, she is a celebrated professor, thought leader and biomedical machine learning pioneer.
A 3rd generation Ph.D who is passionate about education, Stanford professor Daphne Koller is excited to be making the college experience available to anyone through her startup, Coursera. With classes from 85 top colleges, Coursera is an innovative model for online learning.
