Lecture
Optimization Problems: Gradient Descent Algorithm
Description
This lecture introduces a general formulation for optimization problems, which can be applied to linear regression, logistic regression, and support vector machines. By mapping these machine learning problems to this formulation, one can utilize the gradient descent algorithm to iteratively move in the opposite direction of the gradient until reaching the function's minimum.
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IoT Systems and Industrial Applications with Design Thinking
The first MOOC to provide a comprehensive introduction to Internet of Things (IoT) including the fundamental business aspects needed to define IoT related products.
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