Leetcode question. ML sys design on paper
Applied Research Interview Questions
517 applied research interview questions shared by candidates
Problem Solving on Data structure and algorithm
1. How would you design a pipeline for a dataset comprises students, class and scores
1. Questions on Dynamic Programming. 2. Machine Learning 3. MLOPS
How do transformers and attention work
Describe PCA , Regression, regression metrics, logistic regression, bias variance tradeoff, regularization techniques
Leetcode + LLM knowledge first a quick introduction from both sides then one medium level leetcode question followed by a lot of LLM related questions, also asked about projects on resume
Problem: Top K Most Similar Documents You are given: an integer array queryEmb of length D, representing a query embedding a 2D integer array docEmbs of size N x D, representing N document embeddings an integer k All embeddings are already L2-normalized. The cosine similarity between two normalized vectors is equal to their dot product. Return the indices of the k documents with the highest cosine similarity to queryEmb, ordered from most similar to least similar. If k > N, return all document indices sorted by similarity. Function Signature def topKSimilar(queryEmb: np.ndarray, docEmbs: np.ndarray, k: int) -> np.ndarray
How can you convince me that a number is irrational?
Talk about your relevant experience
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