# 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 - 20,726 | Bivariate normal distribution - 6,414 |

Bias/variance decomposition of MSE - 12,283 | Bias and variance of $\hat \mu$ - 6,102 |

Axiomatic definition of probability - 11,737 | Plug-in principle to define an estimator - 5,489 |

The sum of i.i.d. random variables - 11,007 | Bias of the estimator $\hat \sigma^2$ - 5,417 |

USPS dataset - 9,622 | Discriminant functions for classification - 5,360 |

Recursive least-squares - 8,801 | Foundations of probability - 5,350 |

Bootstrap estimate of the variance - 7,645 | The PRESS statistic - 5,347 |

Bootstrap estimate of bias - 7,260 | Permutation test - 5,191 |

Introduction - 7,072 | Bias and variance - 5,006 |

Modelling from data - 7,029 | Stacked regression - 4,803 |

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