Library/Machine-Learning-Interviews
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alirezadir/Machine-Learning-Interviews

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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alirezadir

alirezadir

alirezadir • individual

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Created

Jan 31, 2021

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README Summary

This repository serves as a comprehensive guide for Machine Learning and AI technical interviews, providing study materials, common questions, and preparation resources. It contains structured content to help candidates prepare for ML/AI roles at various companies. The repository is organized with Jupyter notebooks covering different aspects of machine learning interview preparation.

AI Dev Skills

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Machine Learning FundamentalsDeep LearningNatural Language ProcessingComputer VisionStatistical LearningModel EvaluationFeature EngineeringAlgorithm DesignData Structures for MLMathematical FoundationsInterview Problem Solving

Tags

Machine Learning FundamentalsDeep LearningNatural Language ProcessingComputer VisionStatistical LearningModel EvaluationFeature EngineeringAlgorithm DesignData Structures for MLMathematical FoundationsInterview Problem SolvingEducationSelf-Study ResourceML Engineering Skill AssessmentEducational PlatformEducational Training MaterialML Engineering Career DevelopmentSelf-hostedTechnologyTechnical Interview PreparationTextTechnical Interview StandardsJupyter Notebook

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Recent Activity

Updated 9 months ago

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beta
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medium
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beta

Categories

Evals & BenchmarkingPrimaryNLP & TextML Platform & InfrastructureData Science & AnalyticsOther AI / MLLearning ResourcesModel TrainingComputer Vision

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Jupyter Notebook100.0%

Timeline

Project created
Jan 31, 2021
Forked
Nov 16, 2025
Your last push
9 months ago
Upstream last push
4 months ago
Tracked since
Jun 23, 2025

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