Data science and machine learning are growing increasingly popular. R is an open source platform that offers numerous libraries and implementations of machine-learning algorithms, which makes it a perfect tool for exploratory data analysis and presenting the results of inquiries and data science in general.
Barbara Fusinska offers an introduction to machine learning and R’s capabilities in a field of data science. Along with the language basics, Barbara explores specific data applications built around common problems in supervised and unsupervised learning and demonstrates how to use R as a tool for data analysis, performing machine-learning computations, and displaying the results of predictions.
Barbara Fusinska is a machine learning engineer at Google. She has a strong software development background and is experienced in building diverse software systems. Barbara focuses on data science and big data; she believes in the importance of data and metrics when growing a successful business. Barbara still enjoys programming as well. She is a frequent speaker at conferences. You can read more on her blog.
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