The success of any big data project depends on how quickly and efficiently it can convert data into actionable insights. In an environment, where thousands of e-mails or weblogs needs to be processed on a daily basis, machine learning comes across as an effective solution. Arthur Samuel defined machine learning as a “Field of study that gives computers the ability to learn without being explicitly programmed”. In simple words, machine learning is about creating and study of algorithms that can learn from its past data. Machine learning algorithms are used in recommendation engine development that study past trends and recommend products and services to users. Apache Mahout,  MatLAB are some of the projects that support machine learning.

[x]cube DATA boasts of an experienced team of machine learning developers who can help you develop machine learning algorithms to convert your data into insights. Our team will also aid you in recommendation engine development to promote your offerings to the users.