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INF2-FDS: S2 Week 3 - Introduction to unsupervised learning - K-means

Monday's lecture: K-means

  • Reading: Lecture notes Chapter 9
  • Slides (to be annotated in the lecture)
  • Comprehension questions‏ on K-means are in Gradescope in Learn Ultra
  • Iain Murray's fruit dataset and Jupyter notebook with code for examples

No lecture on Wednesday.

Task

Preparation for the S2 Week 4 Workshop on inferential statistics exercises.

Lab

The lab associated with this week is on K-means, which is covered in the lectures, but you might wish to do the lab in week 4 after CW2. Please note that there are no in-person lab sessions, but you can ask questions on Piazza.

License
All rights reserved The University of Edinburgh
  • INF2-FDS: Task: Preparation for S2 Week 4 Workshop

Book traversal links for INF2-FDS: S2 Week 3 - Introduction to unsupervised learning - K-means

  • INF2-FDS: S2 Week 2 Lab
  • Up
  • INF2-FDS: Task: Preparation for S2 Week 4 Workshop

Navigation links

  • 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
    • INF2-FDS: S1 Week 3 - Exploratory data analysis, data communication and visualisation
    • INF2-FDS: S1 Week 4 - Data Ethics, Data Scraping and statistical relationships
    • INF2-FDS: S1 Week 5 - Introduction to supervised learning - Nearest Neighbours
    • INF2-FDS: S1 Week 6 - Linear models
    • INF2-FDS: S1 Week 7 - Coursework 1
    • INF2-FDS: S1 Week 8 - Multiple regression
    • INF2-FDS: S1 Week 9 - Dealing with high dimensions
    • INF2-FDS: S1 Week 10 - Randomness, sampling and simulation
    • INF2-FDS: S1 Week 11 - Estimation and confidence intervals
    • INF2-FDS: S2 Week 1 - Hypothesis testing and A/B testing
    • INF2-FDS: S2 Week 2 - Logistic regression
    • INF2-FDS: S2 Week 3 - Introduction to unsupervised learning - K-means
      • INF2-FDS: Task: Preparation for S2 Week 4 Workshop
    • INF2-FDS: S2 Week 4 - Ethical and legal issues in supervised learning
    • INF2-FDS: S2 Week 5 - Regression and inference
    • INF2-FDS: S2 Week 6 - 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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