You'll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you'll find code examples you can use in your applications.

- Examine methods for obtaining, cleaning, and arranging data into its purest form;
- Understand the matrix structure that your data should take;
- Learn basic concepts for testing the origin and validity of data;
- Transform your data into stable and usable numerical values;
- Understand supervised and unsupervised learning algorithms, and methods for evaluating their success;
- Get up and running with MapReduce, using customized components suitable for data science algorithms;

## Book Details | |

Publisher: | O'Reilly Media |

By: | Michael Brzustowicz |

ISBN-13: | 9781491934111 |

ISBN-10: | 1491934115 |

Year: | 2017 |

Pages: | 236 |

Language: | English |

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