Chapter-4: Training Models

Photo by Possessed Photography on Unsplash

1. What Linear Regression training algorithm can you use if you have a training set with millions of features?

Both the Normal Equation and the Singular Value Decomposition (SVD) approach get very slow when the number of features grows large (e.g.100,000). However, Gradient Descent scales well with the number of…

Anjan Debnath

Google Certified Associate Android Developer (Java) || Management (IBA, DU) || Sr. Software Engineer || English language trainer || Data Science & Blockchain

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