Data Science Masterclass – Information Visualisation

Date: 21 November 2016

Time: 1:30pm – 4:30pm

Information Visualisation – Min Chen (University of Oxford)

This session will cover the following:

  1. Myths and Promises of Data Intelligence
    1.1 Five myths:
    a. The problem of “Big Data” is due to too much data.
    b. The “Big Data” problem is a recent phenomenon.
    c. Machine intelligence is the only hope.
    d. Visualization provides insight.
    e. Data processing inequity is ubiquitous.
    1.2 A brief introduction to Visual Analytics
    1.3 Cost-benefit analysis of data intelligence
  2. Multivariate Data Visualization
    2.1 A whiz around the field of visualization
    2.2 Parallel coordinates plots
    2.3 Glyph-based visualization
    2.4 Spatio-temporal data visualization
    2.5 Four levels of visualization
  3. Model-developmental visualization
    3.1 Introduction
    3.2 Case Study 1: Text alignment
    3.3 Case Study 2: Facial expression classification
    3.4 Information-theoretic analysis of case study 2
    3.5 Discussions: Visual analytics in model development.

Watch the live stream here: