PracHub
QuestionsLearningGuidesInterview Prep
|Home/Machine Learning/UiPath

Explain Core ML Fundamentals

Last updated: Apr 2, 2026

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.

  • easy
  • UiPath
  • Machine Learning
  • Machine Learning Engineer

Explain Core ML Fundamentals

Company: UiPath

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: easy

Interview Round: Technical Screen

Quick Answer: 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.

Related Interview Questions

  • Explain Transformer Layers and FFN Rationale - UiPath (medium)
|Home/Machine Learning/UiPath

Explain Core ML Fundamentals

UiPath logo
UiPath
Jan 10, 2026, 12:00 AM
easyMachine Learning EngineerTechnical ScreenMachine Learning
2
0
Loading...
Loading comments...

Browse More Questions

More Machine Learning•More UiPath•More Machine Learning Engineer•UiPath Machine Learning Engineer•UiPath Machine Learning•Machine Learning Engineer Machine Learning

Write your answer

Your first approved answer each day earns 20 XP.

Sign in to write your answer.
PracHub

Master your tech interviews with 9,000+ real questions from top companies.

Product

  • Questions
  • Learning Tracks
  • Interview Guides
  • Resources
  • Premium
  • For Universities

Browse

  • By Company
  • By Role
  • By Category
  • Topic Hubs
  • SQL Questions
  • AI Coding Questions
  • Compare Platforms
  • Discord Community

Support

  • support@prachub.com
  • (916) 541-4762

Legal

  • Privacy Policy
  • Terms of Service
  • About Us

© 2026 PracHub. All rights reserved.