Ahmed N. AL-Masri
American University in the Emirates, UAE
Title: Implementing Machine Learning for Big Data Analytics, Challenges and Solutions
Biography
Biography: Ahmed N. AL-Masri
Abstract
Big Data analytics is one of the great trials in Learning Machine algorithms, as most of real life applications include a massive information or big data knowledge base. On the other hand, the artificial intelligent system with data knowledge base should be able to compute the result in very accurate and fast manner. This paper focused on the challenges and solutions of using Learning Machine with Big Data. Data processing is a mandatory step to transform Big Data which is unstructured into meaningful and optimized data set in any LM module. However, it is necessary to deploy an optimized data set to support the distributed processing and real-time application. This work also reviewed the current used technologies on the Big Data analysis and LM computation. The revision emphasizes on the viability of using different solution for a certain applications could increase the performance of LM. The new development especially in cloud computing and data transaction speed gives more advantages to the practical use of artificial intelligence applications.