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Interview questions by company and topic | SysRound

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63 questions

Showing 26–50

Machine learningHard
Design Real-Time Credit Card Fraud Detection System
Companies: TikTok
ML System Design · Supervised Learning
Open workspace
Machine learningHard
Design regression and classification ML pipelines
Companies: Citadel
Feature Engineering · Supervised Learning
Open workspace
Machine learningHard
Detect Data Leakage in Supervised Learning Pipelines
Companies: Boston Consulting Group
ML Coding · Supervised Learning
Open workspace

Page 2 of 3

Machine learningMedium

Ensemble Learning Trade-offs and Why Bagging Reduces Overfitting

Companies: Pinterest

ML Fundamentals · Supervised Learning

Machine learningMedium

Explain activations, losses, and Adam

Companies: LinkedIn

Neural Networks & Training · Supervised Learning

Machine learningHard

Explain and tune decision trees robustly

Companies: Point72

Model Evaluation · Supervised Learning

Machine learningMedium

Explain AUC, imbalance, losses, and networks

Companies: Boston Consulting Group

Model Evaluation · Supervised Learning

Machine learningMedium

Explain Core ML Concepts

Companies: Instacart, JPMorgan, Snapchat

ML Fundamentals · Regression & Statistical Modeling · Supervised Learning

Machine learningMedium

Explain Decision-Tree Training and Clustering Algorithms

Companies: Amazon

Supervised Learning · Unsupervised Learning

Machine learningHard

Explain fraud types and evaluate a fraud model

Companies: PayPal

Model Evaluation · Supervised Learning

Machine learningHard

Explain logistic regression vs forests and boosting

Companies: Google

ML Fundamentals · Supervised Learning

Machine learningMedium

Explain the Margin View of Boosting Classification

Companies: C3 Ai

ML Fundamentals · Supervised Learning

Machine learningMedium

Explain variance reduction in random forests

Companies: LinkedIn

ML Fundamentals · Supervised Learning

Machine learningMedium

Explain XGBoost Parallelism Strategies

Companies: Amazon

Supervised Learning

Machine learningHard

Fit logistic regression and return top features

Companies: Roblox

ML Coding · Supervised Learning

Machine learningEasy

Handle imbalance, validate samples, and avoid overfitting

Companies: LinkedIn

Model Evaluation · Supervised Learning

Machine learningMedium

Handling Class Imbalance: Metrics, Resampling, Class Weights and Decision Thresholds

Companies: HubSpot

Model Evaluation · Supervised Learning

Machine learningMedium

How a Perceptron Computes and Learns: The Single-Neuron Linear Classifier

Companies: Google

Neural Networks & Training · Supervised Learning

Machine learningMedium

How do you choose a model?

Companies: Microsoft

ML System Design · Supervised Learning

Machine learningEasy

How predict vehicles’ turn direction at intersection?

Companies: Waymo

Model Evaluation · Supervised Learning

Machine learningHard

How to Analyze and Model Behavioral Data Effectively?

Companies: Coinbase

Model Evaluation · Supervised Learning

Machine learningMedium

How would you design delay and watchlist models?

Companies: Capital One

Supervised Learning

Machine learningMedium

Identify and Fix Predictive Model Performance Gaps

Companies: Google

Feature Engineering · Supervised Learning

Machine learningEasy

Implement a Decision Tree Classifier and a Bagging Ensemble from Scratch

Companies: Pinterest

ML Coding · Supervised Learning

Machine learningEasy

Implement a k-Nearest Neighbors Classifier from Scratch

Companies: Pinterest

ML Coding · Supervised Learning