Lecture
Introduction to Supervised Learning: Linear and Polynomial Regression - VOLODYMYR KULESHOV
This lecture provides a first example of a machine learning algorithm: linear regression. It defines a linear model and its optimization objective using mathematical notation in the context of a real-world motivating application: predicting diabetes risk.
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Volodymyr Kuleshov
Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Computer Science Department at Cornell University, PhD
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