Microsoft adds a Spark to Machine Learning Library for data scientists - Computer Business Review

Microsoft updates Apache Spark with new Machine Learning Library with advanced capabilities for data scientists leveraging innovation. Microsoft has unveiled a new function that caters to data scientists, with the release of a Machine Learning library for Apache Spark. The aim is to offer an increased rate of experimentation and also help data scientists leverage advanced machine and deep learning techniques on large datasets. Microsoft's Machine Learning Library (MLlib) is built to make machine learning scalable and easy to use, providing tools such as algorithms to offer classification, regression, clustering and filtering of machine learning. According to Microsoft, customers already using its SparkML have found it to be a platform which helps in building scalable machine learning models but have still struggled with low-level APIs.