If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data.

Get a crash course in Python; Learn the basics of linear algebra, statistics, and probability - and how and when they're used in data science; Collect, explore, clean, munge, and manipulate data; Dive into the fundamentals of machine learning; Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering; Explore recommender systems, natural language processing, network analysis, MapReduce, and databases.

## Book Details | |

Publisher: | O'Reilly Media |

By: | Joel Grus |

ISBN-13: | 9781492041139 |

ISBN-10: | 1492041130 |

Year: | 2019 |

Pages: | 406 |

Language: | English |

## Book Preview | |

Online | Data Science from Scratch, 2nd Edition |

## Paper Book | |

Buy: | Data Science from Scratch, 2nd Edition |

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