AI class prerequisites: Difference between revisions

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(Created page with "= Prerequisites = * Probability Prerequisites ** [http://www.khanacademy.org/video/basic-probability Basic Probability] ** [http://www.khanacademy.org/video/probability--part-6 ...")
 
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= Prerequisites =
Here we document the prerequisite learning for the [[AI class]].


* Probability Prerequisites
= Resources =
** [http://www.khanacademy.org/video/basic-probability Basic Probability]
 
** [http://www.khanacademy.org/video/probability--part-6 Probability (Part 6) - Conditional Probability]
== Probability Prerequisites ==
** [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/basic-probability Basic Probability]
** [http://www.khanacademy.org/video/introduction-to-random-variables Introduction to Random Variables]
* [http://www.khanacademy.org/video/probability--part-6 Probability (Part 6) - Conditional Probability]
** [http://www.khanacademy.org/video/probability-density-functions Probability Density Functions]
* [http://www.khanacademy.org/video/probability--part-7 Probability (Part 7) - Bayes' Rule]
** [http://www.khanacademy.org/video/expected-value--e-x Expected Value: E(X)]
* [http://www.khanacademy.org/video/probability--part-8 Probability (Part 8) - More Bayes' Rule]
* Linear Algebra Prerequisites
* [http://www.khanacademy.org/video/introduction-to-random-variables Introduction to Random Variables]
** [http://www.khanacademy.org/video/introduction-to-matrices Introduction to Matrices]
* [http://www.khanacademy.org/video/probability-density-functions Probability Density Functions]
** [http://www.khanacademy.org/video/matrix-multiplication--part-1 Matrix Multiplication (Part 1)]
* [http://www.khanacademy.org/video/expected-value--e-x Expected Value: E(X)]
** [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)]
== Linear Algebra Prerequisites ==
** [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/introduction-to-matrices Introduction to Matrices]
** [http://www.khanacademy.org/video/matrices-to-solve-a-system-of-equations Matrices to Solve a System of Equations]
* [http://www.khanacademy.org/video/matrix-multiplication--part-1 Matrix Multiplication (Part 1)]
** [http://www.khanacademy.org/video/singular-matrices Singular Matrices]
* [http://www.khanacademy.org/video/matrix-multiplication--part-2 Matrix Multiplication (Part 2)]
** [http://www.khanacademy.org/video/linear-algebra--introduction-to-vectors Introduction to Vectors]
* [http://www.khanacademy.org/video/inverse-matrix--part-1 Inverse Matrix (Part 1)]
** [http://www.khanacademy.org/video/vector-dot-product-and-vector-length Vector Dot Product and Vector Length]
* [http://www.khanacademy.org/video/inverting-matrices--part-2 Inverting Matrices (Part 2)]
** [http://www.khanacademy.org/video/defining-the-angle-between-vectors Defining the Angle Between Vectors]
* [http://www.khanacademy.org/video/inverting-matrices--part-3 Inverting Matrices (Part 3)]
** [http://www.khanacademy.org/video/linear-algebra--cross-product-introduction Cross Product Introduction]
* [http://www.khanacademy.org/video/matrices-to-solve-a-system-of-equations Matrices to Solve a System of Equations]
** [http://www.khanacademy.org/video/matrix-vector-products Matrix Vector Products]
* [http://www.khanacademy.org/video/singular-matrices Singular Matrices]
** [http://www.khanacademy.org/video/linear-transformations-as-matrix-vector-products Linear Transformations as Matrix Vector Products]
* [http://www.khanacademy.org/video/linear-algebra--introduction-to-vectors Introduction to Vectors]
** [http://www.khanacademy.org/video/linear-transformation-examples--scaling-and-reflections Linear Transformation Examples: Scaling and Reflections]
* [http://www.khanacademy.org/video/vector-dot-product-and-vector-length Vector Dot Product and Vector Length]
** [http://www.khanacademy.org/video/linear-transformation-examples--rotations-in-r2 Linear Transformation Examples: Rotations in R2]
* [http://www.khanacademy.org/video/defining-the-angle-between-vectors Defining the Angle Between Vectors]
** [http://www.khanacademy.org/video/introduction-to-projections Introduction to Projections]
* [http://www.khanacademy.org/video/linear-algebra--cross-product-introduction Cross Product Introduction]
** [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/matrix-vector-products Matrix Vector Products]
** [http://www.khanacademy.org/video/linear-algebra--transpose-of-a-matrix Transpose of a Matrix]
* [http://www.khanacademy.org/video/linear-transformations-as-matrix-vector-products Linear Transformations as Matrix Vector Products]
** [http://www.khanacademy.org/video/linear-algebra--3x3-determinant 3x3 Determinant]
* [http://www.khanacademy.org/video/linear-transformation-examples--scaling-and-reflections Linear Transformation Examples: Scaling and Reflections]
** [http://www.khanacademy.org/video/linear-algebra--introduction-to-eigenvalues-and-eigenvectors Introduction to Eigenvalues and Eigenvectors]
* [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 =
 
== Basic Probability ==
 
<youtube>uzkc-qNVoOk</youtube>
 
== Probability (Part 6) - Conditional Probability ==
 
<youtube>xf3vfczoCho</youtube>
 
== Probability (Part 7) - Bayes' Rule ==
 
<youtube>BLcgeLALLnc</youtube>
 
== Probability (Part 8) - More Bayes' Rule ==
 
<youtube>VVr8snbaxZg</youtube>
 
== Introduction to Random Variables ==
 
<youtube>IYdiKeQ9xEI</youtube>
 
== Probability Density Functions ==
 
<youtube>Fvi9A_tEmXQ</youtube>
 
== Expected Value: E(X) ==
 
<youtube>j__Kredt7vY</youtube>
 
= Linear Algebra Prerequisites =
 
== Introduction to Matrices ==
 
<youtube>xyAuNHPsq-g</youtube>
 
== Matrix Multiplication (Part 1) ==
 
<youtube>aKhhYguY0DQ</youtube>
 
== Matrix Multiplication (Part 2) ==
 
<youtube>OAh573i_qn8</youtube>
 
== Inverse Matrix (Part 1) ==
 
<youtube>iUQR0enP7RQ</youtube>
 
== Inverting Matrices (Part 2) ==
 
<youtube>S4n-tQZnU6o</youtube>
 
== Inverting Matrices (Part 3) ==
 
<youtube>obts_JDS6_Q</youtube>
 
== Matrices to Solve a System of Equations ==
 
<youtube>AUqeb9Z3y3k</youtube>
 
== Singular Matrices ==
 
<youtube>UqyN7-tRS00</youtube>
 
== Introduction to Vectors ==
 
<youtube>5cWB52I-SF0</youtube>
 
== Vector Dot Product and Vector Length ==
 
<youtube>WNuIhXo39_k</youtube>
 
== Defining the Angle Between Vectors ==
 
<youtube>5AWob_z74Ks</youtube>
 
== Cross Product Introduction ==
 
<youtube>pJzmiywagfY</youtube>
 
== Matrix Vector Products ==
 
<youtube>7Mo4S2wyMg4</youtube>
 
== Linear Transformations as Matrix Vector Products ==
 
<youtube>PErhLkQcpZ8</youtube>
 
== Linear Transformation Examples: Scaling and Reflections ==
 
<youtube>qkfODKmZ-x4</youtube>
 
== Linear Transformation Examples: Rotations in R2 ==
 
<youtube>lPWfIq5DzqI</youtube>
 
== Introduction to Projections ==
 
<youtube>27vT-NWuw0M</youtube>
 
== Exploring the Solution Set of Ax = b ==
 
<youtube>1PsNIzUJPkc</youtube>
 
== Transpose of a Matrix ==
 
<youtube>2t0003_sxtU</youtube>
 
== 3x3 Determinant ==
 
<youtube>0c7dt2SQfLw</youtube>
 
== Introduction to Eigenvalues and Eigenvectors ==
 
<youtube>PhfbEr2btGQ</youtube>

Latest revision as of 15:01, 28 August 2017

Here we document the prerequisite learning for the AI class.

Resources

Probability Prerequisites

Linear Algebra Prerequisites

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

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