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Название: Machine Learning using R with Time Series and Industry-based Use Cases in R
Год: 2019
Издатель: Apress
Язык: english
Кол-во страниц: 681
Формат: PDF
Описание:
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.
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Название: Machine Learning using R with Time Series and Industry-based Use Cases in R
Год: 2019
Издатель: Apress
Язык: english
Кол-во страниц: 681
Формат: PDF
Описание:
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.
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