# Statistical foundations of machine learning

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## Table of contents

## Recently updated pages

The matrix inversion formula -
14 Mar 2016

The PRESS statistic -
29 Oct 2015

Permutation test -
23 Feb 2014

Randomization tests -
23 Feb 2014

The bootstrap principle -
23 Feb 2014

Bootstrap estimate of bias -
23 Feb 2014

Bootstrap sampling -
23 Feb 2014

Bootstrap -
23 Feb 2014

Estimation of arbitrary statistics -
23 Feb 2014

Nonparametric methods -
23 Feb 2014

## Statistics : Total views

Statistical foundations of machine learning - 16,917 | Bivariate normal distribution - 4,721 |

The sum of i.i.d. random variables - 7,494 | Bootstrap estimate of bias - 4,638 |

Axiomatic definition of probability - 7,423 | Foundations of probability - 4,344 |

USPS dataset - 6,872 | Plug-in principle to define an estimator - 4,241 |

Bias/variance decomposition of MSE - 6,765 | Bias of the estimator $\hat \sigma^2$ - 4,174 |

Recursive least-squares - 5,956 | Stastistical machine learning - 3,948 |

Introduction - 5,940 | Permutation test - 3,838 |

Modelling from data - 5,762 | Bias and variance - 3,661 |

Bootstrap estimate of the variance - 5,021 | The PRESS statistic - 3,654 |

Bias and variance of $\hat \mu$ - 4,849 | Stacked regression - 3,637 |

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