AI class prerequisites: Difference between revisions
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= Resources = | = Resources = | ||
== Probability Prerequisites == | |||
* [http://www.khanacademy.org/video/basic-probability Basic Probability] | |||
* [http://www.khanacademy.org/video/probability--part-6 Probability (Part 6) - Conditional Probability] | |||
* [http://www.khanacademy.org/video/probability--part-7 Probability (Part 7) - Bayes' Rule] | |||
* [http://www.khanacademy.org/video/probability--part-8 Probability (Part 8) - More Bayes' Rule] | |||
* [http://www.khanacademy.org/video/introduction-to-random-variables Introduction to Random Variables] | |||
* [http://www.khanacademy.org/video/probability-density-functions Probability Density Functions] | |||
* [http://www.khanacademy.org/video/expected-value--e-x Expected Value: E(X)] | |||
== Linear Algebra Prerequisites == | |||
* [http://www.khanacademy.org/video/introduction-to-matrices Introduction to Matrices] | |||
* [http://www.khanacademy.org/video/matrix-multiplication--part-1 Matrix Multiplication (Part 1)] | |||
* [http://www.khanacademy.org/video/matrix-multiplication--part-2 Matrix Multiplication (Part 2)] | |||
* [http://www.khanacademy.org/video/inverse-matrix--part-1 Inverse Matrix (Part 1)] | |||
* [http://www.khanacademy.org/video/inverting-matrices--part-2 Inverting Matrices (Part 2)] | |||
* [http://www.khanacademy.org/video/inverting-matrices--part-3 Inverting Matrices (Part 3)] | |||
* [http://www.khanacademy.org/video/matrices-to-solve-a-system-of-equations Matrices to Solve a System of Equations] | |||
* [http://www.khanacademy.org/video/singular-matrices Singular Matrices] | |||
* [http://www.khanacademy.org/video/linear-algebra--introduction-to-vectors Introduction to Vectors] | |||
* [http://www.khanacademy.org/video/vector-dot-product-and-vector-length Vector Dot Product and Vector Length] | |||
* [http://www.khanacademy.org/video/defining-the-angle-between-vectors Defining the Angle Between Vectors] | |||
* [http://www.khanacademy.org/video/linear-algebra--cross-product-introduction Cross Product Introduction] | |||
* [http://www.khanacademy.org/video/matrix-vector-products Matrix Vector Products] | |||
* [http://www.khanacademy.org/video/linear-transformations-as-matrix-vector-products Linear Transformations as Matrix Vector Products] | |||
* [http://www.khanacademy.org/video/linear-transformation-examples--scaling-and-reflections Linear Transformation Examples: Scaling and Reflections] | |||
* [http://www.khanacademy.org/video/linear-transformation-examples--rotations-in-r2 Linear Transformation Examples: Rotations in R2] | |||
* [http://www.khanacademy.org/video/introduction-to-projections Introduction to Projections] | |||
* [http://www.khanacademy.org/video/linear-algebra--exploring-the-solution-set-of-ax-b Exploring the Solution Set of Ax = b] | |||
* [http://www.khanacademy.org/video/linear-algebra--transpose-of-a-matrix Transpose of a Matrix] | |||
* [http://www.khanacademy.org/video/linear-algebra--3x3-determinant 3x3 Determinant] | |||
* [http://www.khanacademy.org/video/linear-algebra--introduction-to-eigenvalues-and-eigenvectors Introduction to Eigenvalues and Eigenvectors] | |||
= Probability Prerequisites = | = Probability Prerequisites = | ||
Revision as of 09:47, 22 October 2011
Here we document the prerequisite learning for the AI class.
Resources
Probability Prerequisites
- Basic Probability
- Probability (Part 6) - Conditional Probability
- Probability (Part 7) - Bayes' Rule
- Probability (Part 8) - More Bayes' Rule
- Introduction to Random Variables
- Probability Density Functions
- Expected Value: E(X)
Linear Algebra Prerequisites
- Introduction to Matrices
- Matrix Multiplication (Part 1)
- Matrix Multiplication (Part 2)
- Inverse Matrix (Part 1)
- Inverting Matrices (Part 2)
- Inverting Matrices (Part 3)
- Matrices to Solve a System of Equations
- Singular Matrices
- Introduction to Vectors
- Vector Dot Product and Vector Length
- Defining the Angle Between Vectors
- Cross Product Introduction
- Matrix Vector Products
- Linear Transformations as Matrix Vector Products
- Linear Transformation Examples: Scaling and Reflections
- Linear Transformation Examples: Rotations in R2
- Introduction to Projections
- Exploring the Solution Set of Ax = b
- Transpose of a Matrix
- 3x3 Determinant
- Introduction to Eigenvalues and Eigenvectors
Probability Prerequisites
Basic Probability
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Probability (Part 6) - Conditional Probability
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Probability (Part 7) - Bayes' Rule
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