Titlebook: Elements of Data Science, Machine Learning, and Artificial Intelligence Using R; Frank Emmert-Streib,Salissou Moutari,Matthias Dehm Textbo

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Textbook 2023nce. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book

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Further Topics, Including Surveying,-nearest neighbor classification, logistic regression, support vector machine, and decision tree) that provide a representative overview of the diverse ideas underlying classification methods widely used in many applications.

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ata using the R programming language.Includes a full suite oThe textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using th

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https://doi.org/10.1007/978-1-84996-086-1stics is to quantify the amount of uncertainty around the conclusions that are made based on a sample of data. In general, . is the (systematic) process of making predictions about a population, using data drawn from that population.

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978-3-031-13341-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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portance of this, data have been called the “oil of the twenty-first century.” To deal with this flood of data, a new field called data science has been established. This chapter provides a general overview of data science and what learning from data means.