# 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 - 23,411 | Bivariate normal distribution - 7,264 |

Bias/variance decomposition of MSE - 15,847 | Bias and variance of $\hat \mu$ - 7,035 |

Axiomatic definition of probability - 14,490 | Discriminant functions for classification - 6,869 |

The sum of i.i.d. random variables - 12,831 | Plug-in principle to define an estimator - 6,259 |

USPS dataset - 11,724 | The PRESS statistic - 6,255 |

Recursive least-squares - 11,058 | Bias of the estimator $\hat \sigma^2$ - 6,231 |

Bootstrap estimate of the variance - 9,517 | Foundations of probability - 6,025 |

Bootstrap estimate of bias - 9,237 | Permutation test - 5,904 |

Modelling from data - 7,883 | Bias and variance - 5,819 |

Introduction - 7,860 | Stacked regression - 5,624 |

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