# 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 - 20,041 | Bivariate normal distribution - 6,095 |

Bias/variance decomposition of MSE - 11,155 | Bias and variance of $\hat \mu$ - 5,869 |

Axiomatic definition of probability - 10,811 | Plug-in principle to define an estimator - 5,264 |

The sum of i.i.d. random variables - 10,332 | Bias of the estimator $\hat \sigma^2$ - 5,180 |

USPS dataset - 9,181 | Foundations of probability - 5,128 |

Recursive least-squares - 8,239 | The PRESS statistic - 5,052 |

Bootstrap estimate of the variance - 7,172 | Permutation test - 4,962 |

Introduction - 6,850 | Discriminant functions for classification - 4,896 |

Bootstrap estimate of bias - 6,822 | Bias and variance - 4,747 |

Modelling from data - 6,801 | Stastistical machine learning - 4,600 |

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