1. different between PCA and LDA
2. why want to work at internet industry
3. neural network problems: drop out, regularizations
4. L1, L2 regularizations
5. SVM, KKT conditions
6. stochastic processes, markov chains, stationary distributions
7. feature engineering, sparse features
8. my own research projects, with great details
