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.

Question

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.

EY

EY Interview Question

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