• PyData Berlin 2017 (07 Jul 2017)
    A quick summary of some talks held at PyData Berlin 2017.

pos-tags viterbi sequence-prediction scikit-learn syntactic-dependencies evaluation_metrics document-classification conditional-random-fields classification 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 imbalanced_data hyperparameter-optimization hidden-markov-models grid-search gensim doc2vec dependency-graph deep-learning convolutional-neural-networks PyData