Material Detail
Probability and Mathematical Needs
This video was recorded at AI Bootcamp 2011 @ AITI-KACE, Accra, Ghana. In order to process, manipulate and learn from large n-dimensional datasets a number of mathematical methods using linear algebra are presented. Further, to make predictions about the nature of data, especially based on the past observations, it is necessary to investigate probabilities. Topics covered include vector spaces, the concept of orthogonality, matrices, matrix decompositions. Also discrete and continuous probabilities, conditional probabilities and Bayes Rule are discussed.
Quality
- User Rating
- Comments
- Learning Exercises
- Bookmark Collections
- Course ePortfolios
- Accessibility Info
More about this material
- Mobile Compatibility:
- Not specified at this time
- Language:
- English
- Cost Involved:
- No
- Source Code Available:
- No
- Creative Commons:
-
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
