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New posts in machine-learning

SVM equations from e1071 R package?

r machine-learning svm libsvm

Can the value of information gain be negative? [closed]

machine-learning information-theory

Right function for normalizing input of sklearn SVM

python machine-learning statistics scikit-learn svm

Scikit classification report - change the format of displayed results

python machine-learning scikit-learn classification svm

log loss output is greater than 1

machine-learning scikit-learn metric loss

Using nnet for prediction, am i doing it right?

r machine-learning neural-network idioms

AdaBoostClassifier with different base learners

machine-learning scikit-learn adaboost

Loss & accuracy - Are these reasonable learning curves?

machine-learning neural-network keras classification loss

TensorFlow: cast a float64 tensor to float32

python machine-learning tensorflow

SVM - what is a functional margin?

machine-learning svm

Multiclass classification with xgboost classifier?

python machine-learning scikit-learn xgboost

How to fix 'Object arrays cannot be loaded when allow_pickle=False' in the sketch_rnn algorithm

python machine-learning

Difference between a linear problem and a non-linear problem? Essence of Dot-Product and Kernel trick

algorithm language-agnostic math artificial-intelligence machine-learning

Spark Random Forests: Different results with same seed

scala apache-spark machine-learning random-forest

Facenet online triplet generation

machine-learning neural-network conv-neural-network

Understanding Gradient Policy Deriving

python machine-learning math deep-learning reinforcement-learning

Why does Spark's OneHotEncoder drop the last category by default?

apache-spark machine-learning pyspark one-hot-encoding bigdata

Hidden Markov Model for multiple observed variables

machine-learning time-series hidden-markov-models

Scikits-Learn RandomForrest trained on 64bit python wont open on 32bit python

machine-learning scikit-learn

How does choosing between pre and post zero padding of sequences impact results

performance machine-learning recurrent-neural-network
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