# 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 - 19,098 | Bivariate normal distribution - 5,796 |

Bias/variance decomposition of MSE - 10,139 | Bias and variance of $\hat \mu$ - 5,585 |

The sum of i.i.d. random variables - 9,613 | Plug-in principle to define an estimator - 4,997 |

Axiomatic definition of probability - 9,516 | Bias of the estimator $\hat \sigma^2$ - 4,940 |

USPS dataset - 8,368 | Foundations of probability - 4,842 |

Recursive least-squares - 7,514 | Permutation test - 4,668 |

Introduction - 6,623 | The PRESS statistic - 4,631 |

Bootstrap estimate of the variance - 6,581 | Bias and variance - 4,489 |

Modelling from data - 6,503 | Discriminant functions for classification - 4,443 |

Bootstrap estimate of bias - 6,160 | Stastistical machine learning - 4,411 |

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