CODING - Four questions: Python - 2 simple(Recussion) 1 very tough - takes 20 min, 1 SQL - Easy Pessy - Innerjoin and group by together with order by ML STATS - Linear regression, OLS, MLE, Loss function - MSE, MAE, Huber, Bias vs Variance, Logistic, Kmeans, RF vs XGBoost, Gradient decent, Back propagation- what gets updated, how does gradient descent play a role, transformer vs RNN vs CNN, Encoder decoder architecture, Vanishing and exploding gradients- counter, How to counter overfitting, RAG - Explain architecture, Fine tuning, SVM, Kernel trick FURTHER - System design, ML usecase