How you handle overfitting in dt
Data Science Associate Interview Questions
40,364 data science associate interview questions shared by candidates
Some questions about my background and specialty
Which project are you proud of?
All thing was about the my CV and Also, some Q about machine learning
Questions on clustering and classification difference.
What is mean and median
Why is logistic regression better than linear regression
How can AI be used in a medical research center?
1. How do you use NN to reduce dimensionality? 2. Can you model time series as a linear regression model? 3. a) Can you use resampling methods like bagging to estimate the max of a population? b) Why is bagging a variance reduction scheme? 4. Why is the use of minibatch to minimize a function computationally more efficient than any other methods? 5.Gambler's ruin problem. 6. Assume that in a time series, some data are missing. How do you handle that? A. average out the existing values. Okay, so you want to average out the existing values, but how do you define the the new time series as a single function? A. Use characteristic or indicator function.
Moderate level questions on the decisions to apply a particular ML algorithm on a dataset, (What they're looking for is a reasoning that factors in everything like inference time, results examinability(XAI or SHAP) and not just what algorithm will be the most accurate on a dataset. )
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