Questions tagged [learning]

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How can I model this Bayesian learning process of two types of coins?

(As suggested on the comment, I slightly changed my previous question.) I have $N$ coins and I am testing them one by one if it is fair or not. I know that, if it is unfair, the probability of head ...
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Does LSTM provide online learning for streaming data (online parameters' update)?

I read something about LSTM and I noticed that the training is done on a training set and it is long-lasting. How to behave to predict new points if I have daily streaming data? Do I have to train the ...
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Comparing Multiple ML Models: Do CV for each model independently, or use same splits for each model?

I was trying to figure out the most efficient way to compare multiple models using sklearn. Let's say I have three models to compare: Naive Bayes Logistic Regression SVM I want to train and obtain ...
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24 views

Test Accuracy same as Training Accuracy

I am building a prediction model using KNN. After experimenting the data using KFOLD Cross Validation technique, I've got the mean accuracy and applied them on the real model and it turns out that the ...
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21 views

Normal learning model

How can I go about calculating a posterior with this information? Suppose that $z_{t}$ is a stochastic signal about a variable $\eta$, $z_{t}=-\alpha\eta +\epsilon_{t}$, where $\eta$ is Normally ...
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37 views

Combining two datasets for Random Forest binary classification

I was tasked to perform a brief meta-analysis between three datasets, all with identical features, that studied different sources of neurodegeneration. As a meta-analysis these datasets were drawn ...
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22 views

Machine learning algorithm for finding most similar entries in dataset

I have a pandas Dataframe, which has data as structured below. ...