1. Tell me about yourself briefly. 2. Why equinix ? What do you hope to get out of this internship? 3. What are your plans after this internship? 4. What extra skill set can you bring? 5. Some technical Qs about my project
Data Science Engineer Interview Questions
10,887 data science engineer interview questions shared by candidates
Describe your day to day experience at your previous [laboratory] job?
Data science delivery and consulting
* Coding round followed by interview * Questions on Linear regression - how gradient descent works * RMSE * Logistic regrerssion * Cross entropy loss * question from project * Softmax activation * puzzle question * Question on convolution neural netwoks and its working * vgg 16 architecture * pca working * Convolution and padding
Previous experience as well as role(s) and responsibilities.
(1) Asked about the projects listed in my resume. (2) Describe curse of dimensionality with an example (3) What is bias-variance tradeoff? (4) Have you used transfer learning to solve a problem in image classification
What are the difference between Gradient boosting and ad boosting? What is the formula for Ridge regression?
Linear Regression assumption/ random forest related/ sql and classification.
Q: What projects have you done recently?
What is bias-variance tradeoff?
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