E-learning

Learning From Data - The Lectures. Taught by Feynman Prize winner Professor Yaser Abu-Mostafa. The fundamental concepts and techniques are explained in detail. The focus of the lectures is real understanding, not just "knowing. " Lectures use incremental viewgraphs (2853 in total) to simulate the pace of blackboard teaching. The 18 lectures (below) are available on different platforms: Here is the playlist on YouTube Lectures are available on iTunes U course app The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Is Learning Feasible? The Linear Model I - Linear classification and linear regression. Error and Noise - The principled choice of error measures. Training versus Testing - The difference between training and testing in mathematical terms. Theory of Generalization - How an infinite model can learn from a finite sample.

The VC Dimension - A measure of what it takes a model to learn. Bias-Variance Tradeoff - Breaking down the learning performance into competing quantities. Mechanical Engineering. University Archive for the History of Economic Thought. Where's the Best (Free) Education on the Web? - Education. No Excuse List. Mechanical Engineering. Mechanical engineering is one of the broadest technical fields you can enter. As a result, this program is designed to provide you with a solid background in both mechanical and energy systems (and their respective components). To acquire competence in these areas, you will need a solid foundation in math and science, and will accordingly be required to complete a suite of pre-requisite courses in each of these ancillary disciplines. The Mechanical Engineering curriculum is divided into four sections: 100-level courses, 200-level courses, 300-level courses, and 400-level courses.

Since the Saylor curriculum is self-directed, the numbering system used for course descriptors is designed to guide the student in the appropriate sequence of study. Each “level” (i.e. 100-level, 200-level, etc) of courses builds upon the knowledge you will have gained in the previous one. In order to fulfill the requirements for this major, you must complete all 24 of the courses below. AVR Tutorials | eXtreme Electronics - Part 5. NewbieHack - Learn Mechatronics, Microcontrollers, Robotics, Programming and Machine Learning. EdX - Home. Mechanical engineering Project ideas. Khan Academy. Lessons Worth Sharing.

Coursera. MIT OCW.