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Meta Interview Problems (114)

Problems reported from Meta data science interviews

Status	Title	Difficulty	Language	Company	Topic
	Simulate RIGHT JOIN: All Products Including Unsold Pro	Medium	SQL	Amazon Shopify Meta	joins
	Skip Connections in ResNets Pro	Medium	Conceptual	Google Meta NVIDIA	neural-networks
	SQL vs NoSQL Trade-offs Pro	Medium	Conceptual	Uber Meta	computer-science
	Three Sum Pro	Medium	Python	Meta Amazon Adobe	arrays
	Top K Frequent Elements Pro	Medium	Python	Amazon Yelp Meta	data-structures
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	t-SNE vs PCA for Visualization Pro	Medium	Conceptual	Spotify Google Meta	machine-learning
	Word Embeddings vs One-Hot Encoding Pro	Medium	Conceptual	Google Meta	nlp
	Xavier Weight Initialization Pro	Medium	Conceptual	DeepMind Google Meta	neural-networks
	3-Row Moving Average of Daily Signups Pro	Hard	SQL	Meta Spotify LinkedIn	window-functions
	Attribution Modeling Pro	Hard	Conceptual	Google Meta Uber	business-skills
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	BLEU and ROUGE Metrics Pro	Hard	Conceptual	Google Microsoft Meta	llms
	Bonferroni Correction and Multiple Testing Pro	Hard	Conceptual	Meta Google Netflix	statistics
	Bootstrapping Method Pro	Hard	Conceptual	Airbnb Meta Google	statistics
	Committee Selection Combinatorics Pro	Hard	Conceptual	DE Shaw Meta	brainteasers
	Concurrency: Race Conditions Pro	Hard	Conceptual	Uber Meta	computer-science
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	Coreference Resolution Pro	Hard	Conceptual	Meta Google	nlp
	Edit Distance Pro	Hard	Python	Google Meta Jane Street	dynamic-programming
	Ethical Concerns in Model Deployment Pro	Hard	Conceptual	Apple Google Meta	culture-fit
	Exploding Gradients and Gradient Clipping Pro	Hard	Conceptual	Google DeepMind Meta	neural-networks
	Flash Attention Pro	Hard	Conceptual	NVIDIA Meta Google	llms
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	GAN Training Dynamics Pro	Hard	Conceptual	DeepMind Meta NVIDIA	neural-networks
	Hash Map from Scratch Pro	Hard	Python	Amazon Google Meta	data-structures
	Machine Translation Challenges Pro	Hard	Conceptual	Google ByteDance Meta	nlp
	Mixture of Experts Architecture Pro	Hard	Conceptual	Google DeepMind Meta	llms
	Model Drift and Retraining Pro	Hard	Conceptual	Meta Amazon	practical-experience
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