9786206686101 - Data Science using R: A Comprehensive Guide de Namani, Siva Sankar; Komati, Thirupathi Rao; Vuyyuru, Krishna Reddy (7 resultados)

Condición: New.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Science using R is a comprehensive field that combines statistical analysis, machine learning, and programming to extract insights from data. R is a popular programming language among data scientists due to its extensive libraries and tools specifically designed for data manipulation and visualization.In Data Science using R, practitioners leverage R's statistical capabilities to explore and analyze data, uncovering patterns, trends, and relationships. They employ descriptive statistics to summarize and visualize data, and inferential statistics to make predictions and draw conclusions from sample data.Furthermore, Data Science using R involves implementing machine learning algorithms to build predictive models. R offers numerous packages for tasks like regression, classification, clustering, and recommendation systems. These algorithms enable data scientists to uncover patterns in large datasets and make accurate predictions. 124 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data Science using R is a comprehensive field that combines statistical analysis, machine learning, and programming to extract insights from data. R is a popular programming language among data scientists due to its extensive libraries and tools specificall.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data Science using R is a comprehensive field that combines statistical analysis, machine learning, and programming to extract insights from data. R is a popular programming language among data scientists due to its extensive libraries and tools specifically designed for data manipulation and visualization.In Data Science using R, practitioners leverage R's statistical capabilities to explore and analyze data, uncovering patterns, trends, and relationships. They employ descriptive statistics to summarize and visualize data, and inferential statistics to make predictions and draw conclusions from sample data.Furthermore, Data Science using R involves implementing machine learning algorithms to build predictive models. R offers numerous packages for tasks like regression, classification, clustering, and recommendation systems. These algorithms enable data scientists to uncover patterns in large datasets and make accurate predictions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Science using R is a comprehensive field that combines statistical analysis, machine learning, and programming to extract insights from data. R is a popular programming language among data scientists due to its extensive libraries and tools specifically designed for data manipulation and visualization.In Data Science using R, practitioners leverage R's statistical capabilities to explore and analyze data, uncovering patterns, trends, and relationships. They employ descriptive statistics to summarize and visualize data, and inferential statistics to make predictions and draw conclusions from sample data.Furthermore, Data Science using R involves implementing machine learning algorithms to build predictive models. R offers numerous packages for tasks like regression, classification, clustering, and recommendation systems. These algorithms enable data scientists to uncover patterns in large datasets and make accurate predictions.