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 and still enjoys programming as well. She believes in the importance of data and metrics when growing a successful business. Barbara is a frequent speaker at conferences.
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