Machine learning application on big data

Data, which is the new oil of 21st century, has made it difficult to extract meaningful information from itself because of its increasing size and variety. Big data softwares emerged in order to process data that can not be processed by traditional methods have brought a new perspective on data analysis studies. Within the scope of the thesis, explorer data analysis, visualization, and machine learning applications have been performed in big data by using big data tools on cloud service. Amazon Web Services Elastic Mapreduce, Apache Hadoop, Apache Hive, Apache Spark and R Studio will be used in application. Frequently used algorithms in the machine learning literature will be discussed and their performance in the application will be compared.