1. Explain Matrix Factorization for the recommendation system. 2. Case study based question. 2. Explain generative adversarial networks. 3. Loss function of GAN 4. Coding question, solve n stairs problem. every time we can take step 1 ot step 2. print max possibles ways. use either dynamic or recursive approach.
Data Scientist Senior Interview Questions
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Mathematical Modeling questions
Tell me about a project you are proud of
Questions during interview: 1- Say you do on-line ads for two different companies, EasyJet and Mercedes. How would you present your results to the board and prove them you did not waste any money? 2- Another question that involves some economic thinking about why profits go down etc. in the on-line ad business. I recommend you review concepts such as Click-Through Rate, Conversion Rate and the auction mechanisms in on-line marketing etc. 3- After Facebook users pass away, their profile pages remain. So today we have some dead users and some users that are still alive. Will the number of dead people ever equal that of the ones that are alive? When will that happen? How would you calculate it?
I received a take-home assignment.
What are the cases or dataset where k- means will give wrong clusters
How would you predict sales of a product (They need to buy tickets for certain travel agencies and over buying or underbuying will cause them loss)
Signed NDA
- questions techniques en Python (il y a un test à la maison à faire le week-end) - demandent le nom des autres boites auxquelles on candidate
Describe an ROC chart, Describe a decision tree,
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