Describe 3 models (technical) Given sentences in Lowercase. You need to identify the words in which Uppercase should be added
Senior Scientist Interview Questions
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General machine learning algorithms(knn, svm)
Questions regarding domain knowledge and some mathematical background
motivation, compatibliity, why leave academia
Write a linear regression model predicting housing prices (toy example) from scratch (no sklearn) in 50 minutes.
Implement Kmeans clustering and go through different applications and uses
Minha principal experiencia como cientista de dados
First Round ------------ Basic ML/ Python: 1. Explain underfitting and overfitting? 2. Explain bias and variance tradeoff? 3. How do you calculate the sum of complex numbers in python? 4. What data structure did you prefer to store students' names and their marks? Behavioral: 1. Why did you switch from non IT branch to Data Science job and how? 2. How did you learn new things? 3. Coming from a non-CSE background, don't you think it would be better if you did masters in the CSE/Data Science field? 4. Why are you looking for a job switch? 5. Why Ford? Final round: Ask me to present on one of the major use cases.
How attention mechanism work in Transformers?
Walk me through some machine learning project you've done in the past. What would you do if you have conflicts with teammates? What did you learn from the current role?
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