Info Edge Technologies interview questions

What is significance level? What is p-value? State central limit theorem What is population and what is sample? What is normal distribution? How does is look? What is normal distribution of two variables? How the variance look? State the formula When two variables are independent? When two variables are disjoint? If two variables are disjoint then can they be independent and what will be covariance? If X, Y has covariance 10 and X, Z have covariance 100, which one is more related to X? ML What are the assumption of linear regression? Which evaluation metrics are used here? Do you know R2 score What is logistic regression? Which loss function is used here? Why MSE not used here? State Precision, Recall, f1 score definition Suppose I am a model and I give 90% accuracy, do I am a good model? If not give an real life example where I am bad. What is ELBO method? How to find optimum number of clustering in kmeans cluster? DL What is back propagation? What is gradient descent? State the weight update rule. what are the regularizations you know? Where we use L1 or L2? Suppose input dimension is 5 hidden dimension is 3 and output dimension is 5 then number of weights is.. What is batch normalisation? Where we use it neural networks? Do we train it? Others questions What is Adaboost, gradient boosting? What is bagging, boosting? If two coins are tossed simultaneously. What is the probability of getting head if one coin gets tail.

How often do you approach people willingly and strike an conversation?