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Applied Scientist Interview Questions
1,167 applied scientist interview questions shared by candidates
To describe how to use transactional data to promote online sales
Problem Solving on Data structure and algorithm
Hypothesis testing and bayed theorem.
Equations for: SGD, Momentum, L1 and L2 loss, linear regression etc. Statistics deep dive: maximum likelihood estimates, hypothesis testing, PDF etc. Deep Learning: number of parameters in a model, coding Conv, MaxPool and embedding layer etc
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Describe PCA , Regression, regression metrics, logistic regression, bias variance tradeoff, regularization techniques
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?
1, Self Introduction 2. Coding questions related to Linear regression, and basic ML
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