DS02

Data Mining Techniques

Big data mining techniques and related to machine learning models in  the banking industry.

  • 720 minutes

    Video duration

  • 4 Quiz

    Assessment

  • 4 modules

    Learning courses

    • 16 Topics

      Learning courses
    What you are going to learn

    Data Mining Related To Machine Learning

    The course will discuss data mining techniques and related machine learning models to analyze very large amounts of data. The emphasis will be on MapReduce and Spark technology as computation platform for creating parallel algorithms that can process very large amounts of data. 

    You will learn:

    • Technology Foundation
    • Common Techniques
    • Graph and Embedding
    • Decision Trees
    • Mining Data Streams
    • Matrix Sketching
    Our EXPERT

    Meet our core team

    Learning from world-leading academics and practitioners, you’ll not only receive an outstanding grounding in the theory of law, but you will be able to understand how those principles are applied in practice through a range of student-led activities and competitions.

    Jane Moore

    Specialisation: Ophthalmology

    Bryan Weiner

    Penelope Goddard is a specialist veterinary ophthalmologist who enjoys teaching undergraduate students and practitioners about diseases of the eye. She has a particular interest in cataracts and glaucoma, two common eye conditions in older animals. She has worked at the University of Pennsylvania's College of Veterinary Medicine since 2008. Dr. Hampson has also authored several book chapters and abstracts, presented her research at conferences, served on the organizing committee for veterinary ophthalmology meetings.

    Wendy Johnson

    The multiple different categories and options for learning new skills, refreshing old ones or trying different challenges, and the student project resources are superb.