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Google Interview Problems (173)

Problems reported from Google data science interviews

Status Title Difficulty
Positional Encoding in Transformers Pro Medium
POS Tagging Purpose Pro Medium
Precision vs Recall Pro Medium
Products Above Category Average Pro Medium
Quicksort Worst Case Pro Medium
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Random Search vs Grid Search Pro Medium
Rank Employees by Hire Date Within Department Pro Medium
Search in Rotated Sorted Array Pro Medium
Self-Attention in Transformers Pro Medium
Self-Attention Mechanism Pro Medium
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Seq2Seq Architecture Pro Medium
Sieve of Eratosthenes Pro Medium
Simple CTE for Readability Pro Medium
Skip Connections in ResNets Pro Medium
Sliding Window Maximum Pro Medium
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Students, Courses, and Their Instructors Pro Medium
SVM Kernel Selection Pro Medium
Topic Modeling with LDA Pro Medium
Trie Data Structure Pro Medium
t-SNE vs PCA for Visualization Pro Medium
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Vector Databases for RAG Pro Medium
Word Embeddings vs One-Hot Encoding Pro Medium
Working with Engineering Teams Pro Medium
Xavier Weight Initialization Pro Medium
AdaGrad Limitations Pro Hard
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