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outlined_flag This module introduces linear regression, a statistical method used to predict a label value based on its features. The linear regression model uses an equation (y' = b + wâxâ + ...) to represent the relationship between features and the label. During training, the model adjusts its bias (b) and weights (w) to minimize the difference between predicted and actual values. Linear regres
Send feedback Stay organized with collections Save and categorize content based on your preferences. Google's fast-paced, practical introduction to machine learning, featuring a series of animated videos, interactive visualizations, and hands-on practice exercises. Since 2018, millions of people worldwide have relied on Machine Learning Crash Course to learn how machine learning works, and how mac
Share Facebook Twitter LinkedIn Mail Posted by Barry Rosenberg, Google Engineering Education Team Today, we're happy to share our Machine Learning Crash Course (MLCC) with the world. MLCC is one of the most popular courses created for Google engineers. Our engineering education team has delivered this course to more than 18,000 Googlers, and now you can take it too! The course develops intuition a
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