• 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 neural-networks conditional-random-fields NER word2vec syntactic-dependencies evaluation_metrics document-classification classification SyntaxNet NLTK word-embeddings tokenization tf-idf stanford-NER relationship-extraction named-entity-recognition naive-bayes multi-label-classification maximum-entropy-markov-models logistic-regression language-models information-extraction imbalanced_data hyperparameter-optimization hidden-markov-models grid-search glove gensim fasttext doc2vec dependency-graph deep-learning convolutional-neural-networks character-language-models character-embeddings PyData LSTM ELMo BERT