Research problems in Big Data and Data ScienceSpeaker: Sunil Kumar Vuppala – Bangalore, India
Topic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
The talk covers introduction of big data and data science, high level research problems in 5 categories: Core Big data area to handle the scale, Handling noise and uncertainty in the data, Security and privacy aspects, Data Engineering and Intersection of Big data and Data science. The talk covers a research methodology to solve specified problems and top research labs to follow which are working in these areas.
• Introduction to Big data and Data Science
• AI vs ML vs DL
• Data science life cycle
• Research categories and problems in Big data
• Research issues in data science + Big data
• Real world applications
• Gartner Hype cycles
• Summary of Top 20 Research problem statements for scholars in 5 categories
• References of top research labs
About this LectureNumber of Slides: 30.
Duration: 90 minutes
Languages Available: English
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