# 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 - 14,207 | Foundations of probability - 3,732 |

The sum of i.i.d. random variables - 6,314 | Bootstrap estimate of the variance - 3,669 |

USPS dataset - 5,651 | Bias of the estimator $\hat \sigma^2$ - 3,654 |

Axiomatic definition of probability - 5,472 | Plug-in principle to define an estimator - 3,581 |

Introduction - 5,197 | Stastistical machine learning - 3,439 |

Bias/variance decomposition of MSE - 5,083 | Bootstrap estimate of bias - 3,364 |

Modelling from data - 5,022 | Bias and variance - 3,122 |

Recursive least-squares - 4,501 | Stacked regression - 3,013 |

Bias and variance of $\hat \mu$ - 4,180 | The PRESS statistic - 2,973 |

Bivariate normal distribution - 3,846 | Classification and Regression Trees - 2,960 |

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