Implement a recommendation system using collaborative filtering.
Ml Engineer Interview Questions
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Resume based discussion on my projects, and there was also a perception system design question.
Relaxed, conversational interview about my background and the role.
What is deadlock in a multi-agent system?
Vous avez un problème d'overfitting. Comment allez vous le surpasser?
Could you explain your ML experience? Why do you want to work in here?
Deep Learning questions and Transformers
Tell them about last project
Question: Moving Average Anomaly Detection Problem: You are given a time series data of daily stock prices in the form of an array prices, where each prices[i] represents the stock price on day i. Implement a function that detects anomalies using a simple moving average (SMA) approach. An anomaly is detected if the stock price deviates from the moving average by more than a certain threshold. Given the list prices, an integer window_size, and a threshold percentage, return a list of days (indices) where anomalies are detected. Input: prices: List of integers representing stock prices over time. window_size: Integer representing the number of days to compute the moving average. threshold: Float representing the percentage deviation from the moving average to be considered an anomaly. Output: A list of indices where anomalies are detected.
How would you improve LLM model serving performance?
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