R programming language has become one of the most popular tools for statistical computing, visualization and predictive analytics. Today it's a choice of such prominent companies as Google, Merck, Bank of America, Pfizer, Facebook, LinkedIn, Shell, and many others. iTechArt philosophy to keep pace with perspective programming languages brought about quick R appearance in our toolbox. The company values possibilities of our specialists’ internal development. Thus, the first step towards leveraging the language was Machine Learning Club opening. The club unites specialists, passionate about data, who are sharing the goal of R expertise growth in iTechArt. Our enlarging experience resulted in the company’s successful performance in a variety of Kaggle’s Data Science competitions. Club members demonstrated their profound skills and out of the box thinking during Bike Sharing Demand, Search Results Relevance, Grasp-and-Lift EEG Detection and other contests.
Such high-level commitment to fast-moving technological advances is accompanied by iTechArt R assistance. The engineers developed Trading Control for WallachBeth, a leading provider of institutional execution services. The solution helps to analyze market data and manage trading ladders. Another value-creating tool delivered by our team is Aprenita Portfolio Analyzer. Aprenita is a specialized funding source with the latest approach to lending. It offers an easy and seamless funding solution geared towards mobile developers. Portfolio Analyzer forecasts future revenue of mobile company based on information gathered from market and user analytics. Today proper data analysis is the cornerstone of profitable companies. iTechArt considers this while bringing fresh R initiatives on our clients’ boards.
R programming language is a free, open source tool for development in the numeric analysis and machine learning spaces. It’s available on Windows, Mac, and Linux operating systems. R is extensible and offers rich functionality to build tools for performing customized operations. The language includes a library of several thousand user-contributed packages for running calculations on data and developing predictive tools. Besides, R has an extremely powerful graphics system, enabling to produce eye-catching graphs and charts for presentations and reports. Currently it’s expected to remain a significant challenger to traditional statistical and analytics platforms.
Predictive analytics with R empowers businesses to make decisions based on precise, forward-looking insights. This area of data mining is the driving force of retail, financial services, life sciences, pharmaceuticals, healthcare, and other domains. Today’s data-centric world suggests that the ability to predict the flow of business processes is an overwhelming advantage. R is the fastest platform for predictive analytics thanks to a variety of pre-built tools available. It allows generating classification, clustering, association, and a number of other predictive models. Single click sharing of analytic solutions guarantees decision makers the easiest way to get actionable advice.