Some TODO blogs

1. Relationship between PangeRank & Markov Model
2. Relationship between MLE & LSE
3. Relationship between Beam Search & Viterbi Decoding
4. Relationship between HMM & CRF
5. Feature engineering methodology
6. Models’ summary:
   • Gradient Boosting
   • Random Forest
   • Extra Randomized Trees
   • Logistic Regression
   • Linear Regression
   • Neural Networks
   • SVM
7. Ensemble Generation
8. Docker tutorial
9. Design Patterns
10. model (build & train & infer) pipeline