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INF2-FDS: S1 Week 3 Workshop Guide

FDS-S1-03-ethics-3-student-guide.pdf

The above document has the instructors answers to the questions posed in this week's workshop. You may have found additional points or disagree – please share your thoughts on Piazza.

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All rights reserved The University of Edinburgh

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  • INF2-FDS: Course team
  • INF2-FDS: Schedule
  • INF2-FDS: Course Materials
    • INF2-FDS: S1 Week 1 - Introduction and Data
    • INF2-FDS: S1 Week 2 - Descriptive statistics and introduction to data ethics
    • INF2-FDS: S1 Week 3 - Exploratory data analysis, data communication and visualisation
      • INF2-FDS: S1 Week 3 Workshop
      • INF2-FDS: S1 Week 3 Workshop Guide
      • INF2-FDS: S1 Week 3 Lab
    • INF2-FDS: S1 Week 4 - Data Ethics, Data Scraping and statistical relationships
    • INF2-FDS: S1 Week 5 - Linear regression
    • INF2-FDS: S1 Week 7 - Coursework 1
    • INF2-FDS: S1 Week 7 - Multiple regression
    • INF2-FDS: S1 Week 8 - Dealing with high dimensions
    • INF2-FDS: S1 Week 9 - Introduction to supervised learning - Nearest Neighbours
    • INF2-FDS: S1 Week 10 - Introduction to unsupervised learning - K-means
    • INF2-FDS: S2 Week 1 - Randomness, sampling and simulation
    • INF2-FDS: S2 Week 2 - Estimation and confidence intervals
    • INF2-FDS: S2 Week 3 - Hypothesis testing and A/B testing
    • INF2-FDS: S2 Week 4 - Logistic regression
    • INF2-FDS: S2 Week 5 - Regression and inference
    • INF2-FDS: S2 Week 6 - Ethical and legal issues in supervised learning and software engineering for data science
    • INF2-FDS: S2 Week 8 Project writing workshop
    • INF2-FDS: Revision
  • INF2-FDS: Labs
  • INF2-FDS: Workshops
  • INF2-FDS: Resource List
  • INF2-FDS: Assessment

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