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New posts in machine-learning

definition of error rate in classification and why some researchers use error rate instead of accuracy

machine-learning classification

Column-dependent bounds in torch.clamp

python machine-learning deep-learning computer-vision pytorch

PyTorch LSTM input dimension

python machine-learning pytorch lstm

Are the k-fold cross-validation scores from scikit-learn's `cross_val_score` and `GridsearchCV` biased if we include transformers in the pipeline?

machine-learning scikit-learn pipeline cross-validation grid-search

FastAi What does the slice(lr) do in fit_one_cycle()

machine-learning pytorch fast-ai

Implementing a trainable generalized Bump function layer in Keras/Tensorflow

python tensorflow machine-learning keras tf.keras

Sequence to Sequence - for time series prediction

tensorflow machine-learning keras attention-model sequence-to-sequence

How to design a neural network to predict arrays from arrays

python tensorflow machine-learning keras neural-network

Neural network in MATLAB

matlab machine-learning neural-network

Can k-means fall into an infinite loop ?

machine-learning k-means

NLTK/NLP buliding a many-to-many/multi-label subject classifier

python statistics nlp machine-learning nltk

10*10 fold cross validation in scikit-learn?

python machine-learning scikits scikit-learn

Disease named entity recognition

machine-learning nlp medical named-entity-recognition

How to approach Machine Learning problems with dynamically sized input collection?

machine-learning relational-database neural-network data-mining feature-extraction

bag of words - image classification

machine-learning computer-vision

facial expression classification in real time using SVM

opencv machine-learning classification svm libsvm

Why is scikit-learn's random forest using so much memory?

machine-learning classification scikit-learn decision-tree random-forest

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
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