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 is a Strategic Cloud Engineer at Google with strong software development background. While working with a variety of different companies, she gained experience in building diverse software systems. This experience brought her focus to the Data Science and Machine Learning field. She believes in the importance of the data and metrics when growing a successful business.
Alongside collaborating around data architectures, Barbara still enjoys programming activities. Currently speaking at conferences in-between working in London. Tweets at @BasiaFusinska and blogs on http://barbarafusinska.com.
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