# Statistical foundations of machine learning

## Primary tabs

A printed copy of this book is not yet available.

## Table of contents

## Recently updated pages

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

Receiver Operating Characteristic curve -
23 Feb 2014

## Statistics : Total views

Statistical foundations of machine learning - 12,471 | Bias of the estimator $\hat \sigma^2$ - 3,146 |

The sum of i.i.d. random variables - 5,142 | Bivariate normal distribution - 3,117 |

Introduction - 4,698 | Plug-in principle to define an estimator - 3,077 |

USPS dataset - 4,679 | Stastistical machine learning - 3,039 |

Modelling from data - 4,500 | Bootstrap estimate of the variance - 2,706 |

Axiomatic definition of probability - 4,153 | Stacked regression - 2,642 |

Bias/variance decomposition of MSE - 3,856 | Bias and variance - 2,605 |

Bias and variance of $\hat \mu$ - 3,577 | Classification and Regression Trees - 2,525 |

Foundations of probability - 3,316 | Bootstrap estimate of bias - 2,492 |

Recursive least-squares - 3,171 | The random model of uncertainty - 2,480 |

Copyright © 2016, OTexts. About - Contact - Help - Twitter - Terms of Service - Privacy Policy