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Nowadays it is critical to have the ability to quickly and reliably fetch huge amounts of heterogeneous data and apply Machine Learning (ML) models against it for better decision making. Successful processing of streams with data is crucial for real-time operations like extracting, filtering, transforming, aggregating with other data sources, persisting data to data warehouses, publishing to a different messaging topics or pipelines. With Machine Learning gaining high in popularity serious concerns are appearing a...

Machine Learning (ML) is the study and the usage of the mathematical algorithms which can improve their performance without the need for human interaction. These algorithms are considered as a subset of Artificial Intelligence (AI). Machine learning algorithms use past data as input and produce new predicted values as an output. Machine learning algorithms have been used in many areas for solving an innumerable number of tasks. However, the various tasks need applying of different machine learning algorithms for o...