The main concepts of Bayesian statistics are covered using a practical and computational approach. Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others.

By the end of the book, you will have a working knowledge of probabilistic modeling and you will be able to design and implement Bayesian models for your own data science problems. After reading the book you will be better prepared to delve into more advanced material or specialized statistical modeling if you need to.

## Book Details | |

Publisher: | Packt Publishing |

By: | Osvaldo Martin |

ISBN-13: | 9781789341652 |

ISBN-10: | 1789341655 |

Year: | 2018 |

Pages: | 356 |

Language: | English |

## Book Preview | |

Online | Bayesian Analysis with Python, 2nd Edition |

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Source Code | Bayesian Analysis with Python, 2nd Edition |

## Paper Book | |

Buy: | Bayesian Analysis with Python, 2nd Edition |

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