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Confidence intervals - simply explained

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The Poisson distribution vs the normal distribution

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Linear discriminant analysis (LDA) - how to use it as a classifier

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Linear discriminant analysis (LDA) - simply explained

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Featured Results

Support Vector Machines (SVM) - the basics | simply explained

MLE vs OLS | Maximum likelihood vs least squares in linear regression

Understanding cluster heat maps

The standard error of the mean (SEM)| how to calculate and interpret | SE vs SD

How to choose an appropriate statistical test

t-test VS confidence intervals

Confidence intervals - simply explained

The Poisson distribution vs the normal distribution

Logistic regression : the basics - simply explained

Linear discriminant analysis (LDA) - how to use it as a classifier

Linear discriminant analysis (LDA) - simply explained

Covariance and the correlation matrix - with simple examples

Featured Results

Support Vector Machines (SVM) - the basics | simply explained

MLE vs OLS | Maximum likelihood vs least squares in linear regression

Understanding cluster heat maps

The standard error of the mean (SEM)| how to calculate and interpret | SE vs SD

How to choose an appropriate statistical test

t-test VS confidence intervals

Confidence intervals - simply explained

The Poisson distribution vs the normal distribution

Logistic regression : the basics - simply explained

Linear discriminant analysis (LDA) - how to use it as a classifier

Linear discriminant analysis (LDA) - simply explained

Covariance and the correlation matrix - with simple examples

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