Compare Gradient Methods, Linear Regression, and Feature Encoding
Company: Molocoads
Role: Machine Learning Engineer
Category: Machine Learning
Difficulty: medium
Interview Round: Onsite
Overview: Compare batch, stochastic, and mini-batch gradient methods alongside linear-regression assumptions and feature encoding choices. The answer connects optimizer variance, residual diagnostics, regularization, categorical and cyclic representations, unknown categories, and training-only preprocessing to practical model evaluation.
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