You will use all the modern libraries from the Python ecosystem - including NumPy and Keras - to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks.

By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios.

## Book Details | |

Publisher: | Packt Publishing |

By: | Giuseppe Bonaccorso |

ISBN-13: | 9781838820299 |

ISBN-10: | 1838820299 |

Year: | 2020 |

Pages: | 798 |

Language: | English |

## Book Preview | |

Online | Mastering Machine Learning Algorithms, 2nd Edition |

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Source Code | Mastering Machine Learning Algorithms, 2nd Edition |

## Paper Book | |

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