@Article{, title={High Performance Scalable Big Data and Machine Learning using Apache Mahout High Performance Scalable Big Data and Machine Learning using Apache Mahout}, author={ABDUL RASUL AL WAILI ABDUL RASUL AL WAILI}, journal={Journal of Misan Researches مجلة ابحاث ميسان}, volume={13}, number={26-1}, pages={324-338}, year={2023}, abstract={Big Data Analytics and Machine learning refers to the intelligent and dynamic response by the software or embedded hardware programs depending upon the input data. Machine learning is the specialized domain that operatesin association with the artificial intelligence to have strong predictions and analysis. Using this approach, there is no need to explicitly program the computers for specific applications rather the computing modules evaluates the dataset with its inherent behavior so that real time fuzzy based analysis can be done. The programs developed with machine learning paradigms focuses on the dynamic input and dataset so that the custom and related output can be presented to the end user. This manuscript underlines the high performance big data based execution and machine learning using effectual approach of Apache Mahout

Big Data Analytics and Machine learning refers to the intelligent and dynamic response by the software or embedded hardware programs depending upon the input data. Machine learning is the specialized domain that operatesin association with the artificial intelligence to have strong predictions and analysis. Using this approach, there is no need to explicitly program the computers for specific applications rather the computing modules evaluates the dataset with its inherent behavior so that real time fuzzy based analysis can be done. The programs developed with machine learning paradigms focuses on the dynamic input and dataset so that the custom and related output can be presented to the end user. This manuscript underlines the high performance big data based execution and machine learning using effectual approach of Apache Mahout} }