AI class prerequisites: Difference between revisions
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Here we document the prerequisite learning for the [[AI class]]. | Here we document the prerequisite learning for the [[AI class]]. | ||
= | = Resources = | ||
* Probability Prerequisites | * Probability Prerequisites | ||
| Line 33: | Line 33: | ||
** [http://www.khanacademy.org/video/linear-algebra--3x3-determinant 3x3 Determinant] | ** [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] | ** [http://www.khanacademy.org/video/linear-algebra--introduction-to-eigenvalues-and-eigenvectors Introduction to Eigenvalues and Eigenvectors] | ||
= 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 == | |||
Revision as of 09:41, 22 October 2011
Here we document the prerequisite learning for the AI class.
Resources
- Probability Prerequisites
- 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