- 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