Applications are becoming more intelligent. Using machine learning, they can predict your online shopping preferences, movies you want to watch, or interesting articles you might want to read. The R platform is one of the best environments for statistics, data science, and data visualization, offering libraries and ready-to-use implementations of machine-learning algorithms.
Barbara Fusinska demonstrates how to use R to prepare data, create a predictive model, and display the results, as she walks you through the process of implementing machine-learning algorithms for classification, regression, and clustering problems.
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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