Leetcode Coding question from top frequency problems
Applied Research Interview Questions
155 applied research interview questions shared by candidates
Describe functioning of Random Forests? Question on CNN's
just regular technical questions for software engineers and some statistics related questions
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 do transformers and attention work
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Take-home project: simple ML business case to implement and document; ML technical interview: ML basics like explaining different DL architectures, regularization, optimization, etc...
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