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 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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