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
Applied Scientist Interview Questions
1,167 applied scientist interview questions shared by candidates
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
In which situations would you use different types of machine learning models, and what are some basic ideas behind transformers?
What type of model would you use to identify corn fields?
How would you build a machine learning algorithm to recognize dog or cat sounds?
A short chat about my experiences, residence status and salary expectations.
What is TPR, ROC? How can one construct confidence interval on the TPR?
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