|Big Data Analytics||Hours: 3 0 3|
“VSM model, data representation, data transformation and pre-processing, Search, Indexing and memory, natural Language Processing: data n-grams, Streams, Information and Language, analyzing Sentiment and Intent, Databases and their Evolution, Big data Technology and Trends, Map-Reduce, Big data analysis using Hadoop, data mining using mahout, classification, clustering, and mining, information extraction, deep learning from heterogeneous data, forecasting, data analysis: regression and feature selection, recent trends in big data.
|Pre-requisites: none||Co-requisites: none|
Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course