Machine Learning Posted Lectures as of Sep 28W11

Do you want a preview of what you'll learn when you take Stanford's FREE Machine Learning Class? Here are the posted lectures as of Sep 28, Wednesday, 2011. The class officially starts on Oct 10M11 but they have decided to have a few lectures posted in advance.

Machine Learning Preview:

I. INTRODUCTION

• Welcome
• What is Machine Learning?
• Supervised Learning
• Unsupervised Learning

II. LINEAR REGRESSION WITH ONE VARIABLE

• Model Representation
• Cost Function
• Cost Function - Intuition I
• Cost Function - Intuition II
• Gradient Descent
• Gradient Descent Intuition
• Gradient Descent For Linear Regression
• What's Next

III. LINEAR ALGEBRA REVIEW (OPTIONAL)

• Matrices and Vectors
• Addition and Scalar Multiplication
• Matrix Vector Multiplication
• Matrix Matrix Multiplication
• Matrix Multiplication Properties
• Inverse and Transpose

Intro to Databases Posted Lectures as of Sep 28W11

Do you want a preview of what you'll learn when you take Stanford's FREE Introduction to Databases class? Here are the posted lectures as of Sep 28, Wednesday, 2011. The class officially starts on Oct 10M11 but they have decided to have a few lectures and assignments posted in advanced.

Database Class Preview:

INTRODUCTION

• Introduction to the course (14 min)

RELATIONAL DATABASES

• The relational model (9 min)
• Querying relational databases (6 min)

XML DATA

• Well-formed XML (13 min)
• DTDs, IDs & IDREFs (18 min)
• XML Schema (13 min)

RELATIONAL ALGEBRA
Prerequisite: Relational Databases

• Select, project, join (18 min)
• Set operators, renaming, notation (20 min)

SQL
Prerequisite: Relational Databases; Recommended: Relational Algebra

• Introduction to SQL (5 min)
• Basic SELECT statement (10 min)
• Table variables and set operators (11 min)
• Subqueries in WHERE clause (20 min)
• Subqueries in FROM and SELECT (8 min)
• Aggregation (25 min)
• NULL values (6 min)
• Data modification statements (15 min)

FREE Machine Learning Class by Stanford now up! Enroll before start on Oct 10!

The Machine Learning class offered FREE by Stanford University is now OPEN. The class officially starts on October 10 but some video lectures and assignments are up. Enroll now before the class officially starts!

Enroll now at:

http://www.ml-class.org/

FREE "Intro to DataBases" class by Stanford now running! Enroll before Official start Oct 10

The Introduction to Databases class offered FREE by Stanford University is now OPEN. The class officially starts on October 10 but some video lectures and assignments are up. Enroll now before the class officially starts!

Enroll now at:

http://www.db-class.org/

AI Class Pre Requisites Videos up!

AI Class has posted the recommended prerequisites videos from KhanAcademy that will help you polish up your math needed for the AI Class. Go check it out in the Other Resources link after you log-in on the my profile page. At the time of this posting, these are the topics posted:

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