The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

What is linear regression? Linear regression is a basic machine learning algorithm that is used for predicting a variable based on its linear relationship between other independent variables.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

View on Coursera Learning Outcomes Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses.

Chip development teams have long been clamoring for a better way to manage and debug regression loops. Recently, artificial intelligence (AI) using machine learning (ML) technology has become ...