Web Intelligence and Big Data
This course is about building 'web-intelligence' applications exploiting big data sources using new big-data platforms based on 'map-reduce'
This course is about building 'web-intelligence' applications exploiting big data sources arising from social media, mobile devices and sensors, using new big-data platforms based on the 'map-reduce' parallel programming paradigm. In the past, this course has been offered at the Indian Institute of Technology Delhi as well as the Indraprastha Institute of Information Technology Delhi.
Why take this?
You will learn about... • Some map-reduce-based web intelligence applications • The AI/statistical techniques that make these applications possible • The parallel implementations using map-reduce and related platforms
What you'll learn
• Introduction and Overview • Look: Search, Indexing and Memory • Listen: Streams, Information and Language, Analyzing Sentiment and Intent • Load: Databases and their Evolution, Big data Technology and Trends • Programming: Map-Reduce • Learn: Classification, Clustering, and Mining, Information Extraction • Connect: Reasoning, Logic and its Limits, Dealing with Uncertainty • Programming: Bayesian Inference for Medical Diagnostics • Predict: Forecasting, Neural Models, Deep Learning, and Research Topics • Data Analysis: Regression and Feature Selection
Prerequisites and requirements
Understanding of basic programming, SQL and data structures is recommended. Users should also have had exposure to probability, statistics and matrices.