Big Data Analytics and Machine Learning

Catalog description

This 3-credit core required course introduces database query languages including traditional SQL and new NoSQL, batch data analysis, Hadoop Map Reduce technology, real-time data analysis, content analysis, clustering, sentiment analysis, text classification and mining, web crawling and analytics, social network analytics, mobile analytics, A/B testing, and massive data mining. The last part of the course introduces the concepts of machine learning, pattern recognition, graphical, visual and speech learning, and artificial intelligence. Topics include supervised learning, unsupervised learning, deep learning, reinforcement learning, and neural networks. Pre requisites: DA 530 and DA 610