Machine Learning Lectures by Professor Andrew Ng, Stanford CS Dept.

This course (CS229) -- taught by Professor Andrew Ng -- provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed. This is a series of 20 lectures of about 75 minutes each.Watch them

Programming Methodology Lectures by Professor Mehran Sahami, Stanford CS Dept.

Programming Methodology (CS106A) is an Introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Uses the Java programming language. Emphasis is on good programming style and the built-in facilities of the Java language. This is a series 26 lectures of about 50 minutes each. Watch them