Big Data Analytics using Machine Learning Techniques on Cloud Platforms

Abstract

Academic literature on the application of Big Data Analytics reveals that Machine Learning (ML) algorithms offer a 
solution to extracting valuable insights from big data. The advanced use of computing technology in form of cloud 
platforms has however enhanced the scalability of such procedures. This research focuses on the processes, results 
and consequences of this cooperation between machine learning and big data analysis on cloud environments. 
Present several examples from real-life and experimental proof to support the concept and demonstrate how various 
cloud-based tools and frameworks can be used for this integration. Whereas the talk section discusses various issues 
and solutions, the future directions can be seen as the further technological and methodological advancement able to 
enhance this field even further.