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 strategic cloud engineering manager at Google with a strong software development background. Previously, she was at a variety of different companies like ABB, Base, Trainline, and Microsoft, where she gained experience in building diverse software systems, ultimately focusing on the data science and machine learning field. Barbara believes in the importance of data and metrics when growing a successful business. In her free time, Barbara enjoys programming activities and collaborating around data architecture. She can be found on Twitter as @BasiaFusinska and blogs at http://barbarafusinska.com.
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