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New posts in machine-learning

Manual split versus Scikit Grid Search

python machine-learning scikit-learn

Weights in Convolutional network?

python machine-learning tensorflow

DBSCAN for clustering data by location and density

r machine-learning cluster-analysis data-mining dbscan

What is the difference between the train loss and train error?

machine-learning neural-network artificial-intelligence conv-neural-network

How to resolve "IndexError: too many indices for array"

python arrays machine-learning indices data-science

calculate precision and recall in a confusion matrix

python-3.x machine-learning

Tensorflow: Using neural network to classify positive or negative phrases

python machine-learning tensorflow neural-network

Dropout rate guidance for hidden layers in a convolution neural network

machine-learning neural-network conv-neural-network convolution recurrent-neural-network

How to build a Language model using LSTM that assigns probability of occurence for a given sentence

machine-learning neural-network keras deep-learning

Tensorflow.js tokenizer

javascript machine-learning tensorflow.js natural-language-processing

XGBoost Best Iteration

python-3.x machine-learning regression xgboost

Classification Report - Precision and F-score are ill-defined

python machine-learning scikit-learn classification

Is there some way to save best model only with tensorflow.estimator.train_and_evaluate()?

python tensorflow machine-learning computer-vision object-detection-api

In language modeling, why do I have to init_hidden weights before every new epoch of training? (pytorch)

machine-learning nlp pytorch recurrent-neural-network

Single Perceptron - Non-linear Evaluating function

algorithm machine-learning neural-network

Random Forests - Probability Estimates (+scikit-learn specific)

machine-learning scikit-learn

Setting gamma and lambda in Reinforcement Learning

machine-learning artificial-intelligence reinforcement-learning markov

GridSearchCV on LogisticRegression in scikit-learn

python machine-learning scikit-learn cross-validation logistic-regression

data imbalance in SVM using libSVM

machine-learning svm libsvm

Normalizing feature values for SVM

machine-learning range normalization svm feature-selection
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