๐ Comprehensive Guide: How to Prepare for a Graph Neural Networks (GNN) Job Interview โ 350 Most Common Interview Questions
Read: https://hackmd.io/@husseinsheikho/GNN-interview
#GNN #GraphNeuralNetworks #MachineLearning #DeepLearning #AI #DataScience #PyTorchGeometric #DGL #NodeClassification #LinkPrediction #GraphML
Read: https://hackmd.io/@husseinsheikho/GNN-interview
#GNN #GraphNeuralNetworks #MachineLearning #DeepLearning #AI #DataScience #PyTorchGeometric #DGL #NodeClassification #LinkPrediction #GraphML
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๐ฃ๐ฟ๐ฒ๐ฝ๐ฎ๐ฟ๐ฒ ๐ณ๐ผ๐ฟ ๐๐ผ๐ฏ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐.
In DS or AI/ML interviews, you need to be able to explain models, debug them live, and design AI/ML systems from scratch. If you canโt demonstrate this during an interview, expect to hear, โWeโll get back to you.โ
The attached person's name is Chip Huyen. Hopefully you know her; if not, then I can't help you here. She is probably one of the finest authors in the field of AI/ML.
She designed proper documentation/a book for common ML interview questions.
Target Audiences: ML engineer, a platform engineer, a research scientist, or you want to do ML but donโt yet know the differences among those titles.Check the comment section for links and repos.
๐ link:
https://huyenchip.com/ml-interviews-book/
๏ปฟ
https://t.me/CodeProgrammer๐
In DS or AI/ML interviews, you need to be able to explain models, debug them live, and design AI/ML systems from scratch. If you canโt demonstrate this during an interview, expect to hear, โWeโll get back to you.โ
The attached person's name is Chip Huyen. Hopefully you know her; if not, then I can't help you here. She is probably one of the finest authors in the field of AI/ML.
She designed proper documentation/a book for common ML interview questions.
Target Audiences: ML engineer, a platform engineer, a research scientist, or you want to do ML but donโt yet know the differences among those titles.Check the comment section for links and repos.
https://huyenchip.com/ml-interviews-book/
#JobInterview #MachineLearning #AI #DataScience #MLEngineer #AIInterview #TechCareers #DeepLearning #AICommunity #MLSystems #CareerGrowth #AIJobs #ChipHuyen #InterviewPrep #DataScienceCommunit
๏ปฟ
https://t.me/CodeProgrammer
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Forwarded from Data Science Machine Learning Data Analysis
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==================================
๐ง By: https://t.me/DataScienceM
๐ Description: The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.
๐ Repository URL: https://github.com/ashishpatel26/500-AI-Agents-Projects
๐ Website: https://github.com/ashishpatel26/500-AI-Agents-Projects
๐ Readme: https://github.com/ashishpatel26/500-AI-Agents-Projects#readme
๐ Statistics:
๐ Stars: 7K stars
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๐ด Forks: 1.3K forks
๐ป Programming Languages: Not available
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==================================
๐ง By: https://t.me/DataScienceM
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