Explain Core ML Fundamentals

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Quick Overview

This question evaluates mastery of core machine learning fundamentals—loss functions and derivatives, regularization and overfitting mitigation, activation functions and dropout, similarity and distance metrics, and feature engineering for predictive models.

Explain Core ML Fundamentals

Company: UiPath

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: easy

Interview Round: Technical Screen

Overview: This question evaluates mastery of core machine learning fundamentals—loss functions and derivatives, regularization and overfitting mitigation, activation functions and dropout, similarity and distance metrics, and feature engineering for predictive models.

Read the full UiPath Machine Learning Engineer interview experience this question came from

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UiPath
Jan 10, 2026
easyMachine Learning EngineerTechnical ScreenMachine Learning
3
0
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