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 is a Data Scientist 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 Big Data 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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