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Название: Statistics and Machine Learning in Python
Год: 2017
Издатель: Edouard Duchesnay, Tommy Löfstedt
Кол-во страниц: 163
Язык: english
Формат: PDF
Описание:
Machine learning covers two main types of data analysis: 1. Exploratory analysis: Unsupervised learning. Discover the structure within the data. E.g.: Experience (in years in a company) and salary are correlated. 2. Predictive analysis: Supervised learning. This is sometimes described as “learn from the past to predict the future”.
Scenario: a company wants to detect potential future clients among a base of prospects. Retrospective data analysis: we go through the data constituted of previous prospected companies, with their characteristics (size, domain, localization, etc...).
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Для просмотра ссылки Войдиили Зарегистрируйся
Название: Statistics and Machine Learning in Python
Год: 2017
Издатель: Edouard Duchesnay, Tommy Löfstedt
Кол-во страниц: 163
Язык: english
Формат: PDF
Описание:
Machine learning covers two main types of data analysis: 1. Exploratory analysis: Unsupervised learning. Discover the structure within the data. E.g.: Experience (in years in a company) and salary are correlated. 2. Predictive analysis: Supervised learning. This is sometimes described as “learn from the past to predict the future”.
Scenario: a company wants to detect potential future clients among a base of prospects. Retrospective data analysis: we go through the data constituted of previous prospected companies, with their characteristics (size, domain, localization, etc...).
Скачать
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