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New posts in machine-learning

Why should we perform cosine normalization for SVM feature vectors?

machine-learning nlp classification svm

Does it make sense to use both countvectorizer and tfidfvectorizer as feature vectors for text clustering with KMeans?

python machine-learning scipy scikit-learn feature-extraction

Hyperparameter Grid Search with XGBoost - Scoring function vs Evaluation Metric

python machine-learning scikit-learn data-science xgboost

difference between coef_ and feature_log_prob_ in multinomial naive bayes?

machine-learning scikit-learn classification naivebayes multinomial

Low and high dimensional data

machine-learning artificial-intelligence svm dimensions

How to calculate gradients in ResNet architecture?

machine-learning neural-network deep-learning

sklearn StandardScaler, doesn't allow direct transform, we need to fit_transform

python-3.x machine-learning scikit-learn data-science

Excluding columns from training data in BigQuery ML

machine-learning google-bigquery

Understanding convolutional layers shapes

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

How to improve the catboostregressor? [closed]

machine-learning data-science catboost

Torch argmax for N highest values [duplicate]

python machine-learning deep-learning pytorch

Interpreting XGB feature importance and SHAP values

machine-learning data-science classification xgboost shap

convert image-segmentation class output to image in tensorflow

python tensorflow machine-learning image-segmentation

Primal weights of non-linear SVM

algorithm machine-learning svm

Much worse performance with RBF kernel than linear in SVM in python scikit-learn

python-2.7 machine-learning scikit-learn svm nonlinear-functions

Using keras api for a multiple output model with the same target value

python machine-learning keras artificial-intelligence
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