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2. Andrew Ng - Wikipedia

   en.wikipedia.org/wiki/Andrew_Ng

   Within Stanford, they include Daphne Koller with her "blended learning experiences" and codesigning a peer-grading system, John Mitchell (Courseware, a Learning Management System), Dan Boneh (using machine learning to sync videos, later teaching cryptography on Coursera), Bernd Girod (ClassX), and others.

3. Daphne Koller - Wikipedia

   en.wikipedia.org/wiki/Daphne_Koller

   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 [4] and a MacArthur Foundation fellowship recipient. [1]

4. Ximera - Wikipedia

   en.wikipedia.org/wiki/Ximera

   Ximera is a massive open online course by Ohio State University on Coursera and YouTube. [1] The system was originally known as MOOCulus and Calculus One. [2] The course features over 25 hours of video and exercises. The instructor is Jim Fowler, an associate professor of mathematics at the Ohio State University. [3]

5. Coursera - Wikipedia

   en.wikipedia.org/wiki/Coursera

   Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.

6. Kevin Leyton-Brown - Wikipedia

   en.wikipedia.org/wiki/Kevin_Leyton-Brown

   Kevin Leyton-Brown (born May 12, 1975) is a Professor of Computer Science at the University of British Columbia. [1] He received his Ph.D. at Stanford University in 2003. [2] He was the recipient of a 2014 NSERC E.W.R. Steacie Memorial Fellowship, [3] a 2013/14 Killam Teaching Prize, [4] and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer ...

7. Regularization (mathematics) - Wikipedia

   en.wikipedia.org/wiki/Regularization_(mathematics)

   In mathematics, statistics, finance, [1] and computer science, particularly in machine learning and inverse problems, regularization is a process that converts the answer of a problem to a simpler one. It is often used in solving ill-posed problems or to prevent overfitting. [2]

8. Tensor (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Tensor_(machine_learning)

   In machine learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation. Data may be organized in a multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector ...

9. Online machine learning - Wikipedia

   en.wikipedia.org/wiki/Online_machine_learning

   Online learning is a common technique used in areas of machine learning where it is computationally infeasible to train over the entire dataset, requiring the need of out-of-core algorithms. It is also used in situations where it is necessary for the algorithm to dynamically adapt to new patterns in the data, or when the data itself is ...