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Probability calibration metric for multiclass classifier

machine-learning probability multi-class calibration

answered 17 mins ago TMrtSmith 128

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How to include new data into existing algorithm? (any brainstorming is welcome)

r machine-learning neural-networks inference ensemble

asked 36 mins ago JacobJacox 1

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On what types of datasets do tree-based models not do well?

machine-learning random-forest cart boosting

modified 48 mins ago mkt 2,422

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816

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Similarity measure between groups

machine-learning distance distance-functions similarities

answered 1 hour ago tafelplankje 50

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With a given reward, what is the difference between reinforcement learning methods and relabel the data?

machine-learning deep-learning reinforcement-learning

asked 1 hour ago jet 101

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120

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In CNN, do we have learn kernel values at every convolution layer?

machine-learning conv-neural-network

modified 1 hour ago Jan Kukacka 3,968

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Is Bias-Variance Trade Off and MSPE the same?

regression machine-learning forecasting

asked 2 hours ago rook1996 150

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Right techniques to cluster/segment categorical data?

machine-learning clustering markov-process customer-lifetime-value

asked 3 hours ago DubeyR55 1

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Neural network regression: seemingly bounded output

machine-learning neural-networks python tensorflow keras

modified 4 hours ago Jan Kukacka 3,968

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How do sample weights work in classification models?

machine-learning classification scikit-learn sample weights

asked 5 hours ago Jane Sully 127

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Can neural networks learn $g(x)$ from $\mathbb{E}[g(X_t)] = \int_{-\infty}^{\infty} g(x)p_t(x)dx$

machine-learning neural-networks mathematical-statistics

modified 8 hours ago Edv Beq 159

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196

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+150

What is an Artificial Neural Network?

machine-learning neural-networks deep-learning unsupervised-learning supervised-learning

modified 9 hours ago Rafael Marazuela 57

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How to compare the training performance of a deep learning model on different data sets?

machine-learning deep-learning conv-neural-network

asked 12 hours ago Robot0110 1

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Probability calibration metric for multiclass classifier

How to include new data into existing algorithm? (any brainstorming is welcome)

On what types of datasets do tree-based models not do well?

Similarity measure between groups

With a given reward, what is the difference between reinforcement learning methods and relabel the data?

In CNN, do we have learn kernel values at every convolution layer?

Is Bias-Variance Trade Off and MSPE the same?

Right techniques to cluster/segment categorical data?

Neural network regression: seemingly bounded output

How do sample weights work in classification models?

Can neural networks learn $g(x)$ from $\mathbb{E}[g(X_t)] = \int_{-\infty}^{\infty} g(x)p_t(x)dx$

What is an Artificial Neural Network?

How to compare the training performance of a deep learning model on different data sets?

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