• 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.

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