As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning.

Understand machine learning algorithms using R; Master the process of building machine-learning models; Cover the theoretical foundations of machine-learning algorithms; See industry focused real-world use cases; Tackle time series modeling in R; Apply deep learning using Keras and TensorFlow in R.

## Book Details | |

Publisher: | Apress |

By: | Karthik Ramasubramanian, Abhishek Singh |

ISBN-13: | 9781484242148 |

ISBN-10: | 1484242149 |

Year: | 2019 |

Pages: | 700 |

Language: | English |

## Book Preview | |

Online | Machine Learning Using R, 2nd Edition |

## Free Download | |

Source Code | Machine Learning Using R, 2nd Edition |

## Paper Book | |

Buy: | Machine Learning Using R, 2nd Edition |

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