A REVIEW ON-MACHINE LEARNING BASED MODEL FOR SECURE DATA ANALYSIS

Abstract

In data science, there is a lot of interest in Data Analytics and Machine Learning. Large volumes of domain-specific data are being collected by government agencies and private organisations alike, and this data may provide useful information on national security, cyber security, fraud detection, and marketing strategies. Google and Microsoft, for example, examine vast amounts of data for business assessments and choices that have an effect on current and future technological developments, microsoft also does this. Through a hierarchical learning process, machine learning systems extract complicated high-level abstractions as data representations. At each step of the hierarchy, complicated abstractions are learnt through building on the simpler abstraction defined in the previous step. Machine Learning is used in Data Analytics because it is capable of analyzing and learning from vast volumes of unlabeled and uncategorized raw data. As a result, it's a useful tool for data analytics.