Preguntas etiquetadas con databases

Una colección completa de datos relacionados organizados para un acceso conveniente, generalmente asociado con software para actualizar y consultar los datos.

16
agrandar el mapa de calor marino

Creo un corr()df a partir de un df original. El corr()DF salió 70 X 70 y es imposible de visualizar el mapa de calor ... sns.heatmap(df). Si trato de mostrar corr = df.corr(), la tabla no se ajusta a la pantalla y puedo ver todas las correlaciones. ¿Es una forma de imprimir todo dfsin importar su...

visualization pandas plotting machine-learning neural-network svm decision-trees svm efficiency python linear-regression machine-learning nlp topic-model lda named-entity-recognition naive-bayes-classifier association-rules fuzzy-logic kaggle deep-learning tensorflow inception classification feature-selection feature-engineering machine-learning scikit-learn tensorflow keras encoding nlp text-mining nlp rnn python neural-network feature-extraction machine-learning predictive-modeling python r linear-regression clustering r ggplot2 neural-network neural-network training python neural-network deep-learning rnn predictive-modeling databases sql programming distribution dataset cross-validation neural-network deep-learning rnn machine-learning machine-learning python deep-learning data-mining tensorflow visualization tools sql embeddings orange feature-extraction unsupervised-learning gan machine-learning python data-mining pandas machine-learning data-mining bigdata apache-spark apache-hadoop deep-learning python convnet keras aggregation clustering k-means r random-forest decision-trees reference-request visualization data pandas plotting neural-network keras rnn theano deep-learning tensorflow inception predictive-modeling deep-learning regression sentiment-analysis nlp encoding deep-learning python scikit-learn lda convnet keras predictive-modeling regression overfitting regression svm prediction machine-learning similarity word2vec information-retrieval word-embeddings neural-network deep-learning rnn
13
Neo4j vs OrientDB vs Titán

Estoy trabajando en un proyecto de ciencia de datos relacionado con la minería de relaciones sociales y necesito almacenar datos en algunas bases de datos de gráficos. Inicialmente elegí Neo4j como la base de datos. Pero parece que Neo4j no escala bien. La alternativa que descubrí son Titan y...

data-mining graphs databases social-network-analysis
10
Los mejores idiomas para la informática científica [cerrado]

Cerrada . Esta pregunta necesita estar más centrada . Actualmente no está aceptando respuestas. ¿Quieres mejorar esta pregunta? Actualice la pregunta para que se centre en un problema solo editando esta publicación . Cerrado hace 5 años . Parece que la...

efficiency statistics tools knowledge-base machine-learning neural-network deep-learning optimization hyperparameter machine-learning time-series categorical-data logistic-regression python visualization bigdata efficiency classification binary svm random-forest logistic-regression data-mining sql experiments bigdata efficiency performance scalability distributed bigdata nlp statistics education knowledge-base definitions machine-learning recommender-system evaluation efficiency algorithms parameter efficiency scalability sql statistics visualization knowledge-base education machine-learning r python r text-mining sentiment-analysis machine-learning machine-learning python neural-network statistics reference-request machine-learning data-mining python classification data-mining bigdata usecase apache-hadoop map-reduce aws education feature-selection machine-learning machine-learning sports data-formats hierarchical-data-format bigdata apache-hadoop bigdata apache-hadoop python visualization knowledge-base classification confusion-matrix accuracy bigdata apache-hadoop bigdata efficiency apache-hadoop distributed machine-translation nlp metadata data-cleaning text-mining python pandas machine-learning python pandas scikit-learn bigdata machine-learning databases clustering data-mining recommender-system
10
¿Cómo hacer lotes de productos internos en Tensorflow?

Tengo dos tensor a:[batch_size, dim] b:[batch_size, dim]. Quiero hacer un producto interno para cada par en el lote, generando c:[batch_size, 1], dónde c[i,0]=a[i,:].T*b[i,:].

tensorflow scikit-learn svm cross-validation feature-selection bayesian machine-learning decision-trees parameter-estimation neural-network convnet neural-network regularization visualization machine-learning similarity python pandas indexing r data-cleaning machine-learning predictive-modeling data-cleaning recommender-system python sequential-pattern-mining software-recommendation r visualization gaussian distribution machine-learning data-mining bigdata apache-hadoop predictive-modeling logistic-regression sampling machine-learning regression feature-selection mongodb neural-network inception machine-learning classification dataset databases logistic-regression deep-learning backpropagation classification data-mining multilabel-classification text-mining data-cleaning unsupervised-learning anomaly-detection python r python pandas