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New posts in machine-learning

Computing AUC and ROC curve from multi-class data in scikit-learn (sklearn)?

python machine-learning scikit-learn roc auc

Load Custom Dataset (which is like 20 news group set) in Scikit for Classification of text documents

python machine-learning dataset nlp scikit-learn

Does Caffe need data to be shuffled?

c++ machine-learning neural-network deep-learning caffe

How to classify continuous audio

python machine-learning classification conv-neural-network recurrent-neural-network

Where is the code for gradient descent?

python tensorflow machine-learning gradient-descent

SciKit Learn SVR runs very long

python machine-learning scikit-learn svm

sklearn roc_auc_score with multi_class=="ovr" should have None average available

python machine-learning scikit-learn auc

How to check if a model is in train or eval mode in Pytorch?

python machine-learning deep-learning pytorch

Random forest on a big dataset

r machine-learning random-forest

Processing large amount of data in Python

python csv amazon-ec2 machine-learning scientific-computing

Determining geo location by arbitrary body of text

machine-learning nlp

GridSearchCV no reporting on high verbosity

python machine-learning scikit-learn

Gradient boosting on Vowpal Wabbit

machine-learning vowpalwabbit

Retrieve indices of NaN values in a pandas dataframe

python pandas machine-learning

How does pre-training improve classification in neural networks?

machine-learning neural-network deep-learning conv-neural-network autoencoder

How do multiple hidden layers in a neural network improve its ability to learn?

machine-learning neural-network deep-learning conv-neural-network

Multi-label feature selection using sklearn

python-2.7 machine-learning scikit-learn feature-selection multilabel-classification

Keras Extremely High Loss

python machine-learning keras prediction loss

Test data predictions yield random results when making predictions from a saved model

python tensorflow machine-learning deep-learning keras

L1 norm instead of L2 norm for cost function in regression model

python machine-learning regression least-squares
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