• Maximum Entropy Markov Models and Logistic Regression (12 Nov 2017)
    This blog post is an introduction to Maximum Entropy Markov Model, it points the fundamental difference between discriminative and generative models, and what are the main advantages of the Maximum Entropy Markov Model over the Naive Bayes model.

viterbi sequence-prediction pos-tags scikit-learn conditional-random-fields NER syntactic-dependencies evaluation_metrics document-classification classification SyntaxNet NLTK word2vec tokenization tf-idf stanford-NER relationship-extraction neural-networks named-entity-recognition naive-bayes multi-label-classification maximum-entropy-markov-models logistic-regression information-extraction imbalanced_data hyperparameter-optimization hidden-markov-models grid-search gensim doc2vec dependency-graph deep-learning convolutional-neural-networks PyData LSTM