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Introduction to Data Science 1MS041

You can download the Lecture notes here.

Precision Recall survey here

Introductory SageMath Jupyter .ipynb Notebooks

These notebooks contain the basic theory of how to work with Sagemath and python, that will be needed in this course.

A01. A01-BASH_Unix_Shell

Individual SageMath Jupyter .ipynb lecture Notebooks

These notebooks are numbered according to which lecture they coincide with and will be updated after the lectures. Before the lecture they can be considered preliminary.

  1. 01-Probability
  2. 02-Random_Variables
  3. 02-Random_Variables_examples
  4. 03-Random_Variables
  5. 04-Concentration_and_Limits
  6. 05-Limits
  7. 05-Risk
  8. 06-Fundamentals_of_estimation
  9. 07-Estimation_Likelihood
  10. 07-Optimization
  11. 08-PRNG
  12. 09-Markov_chains
  13. 10-Pattern_Recognition
  14. 11-Training_Testing_Metrics
  15. 12-Regression
  16. 13-Extra_Topics

Problem Solving Sessions

These notebooks are numbered according to which problem solving session they coincide with.

  1. 02-ProbSS1
  2. 03-ProbSS2
  3. 07-ProbSS4_Estimation
  4. 08-ProbSS5
  5. 11-ProbSS06
  6. 12-ProbSS07

Starting package

  • Download the Starting package
  • Unzip this into a folder that you will use as the base folder
  • Whenever you download the next lectures as ipynb files, you put them in the same place as *.ipynb, this way all pathways will be the same for all of us.

Assignment notebooks

  1. Assignment_1
  2. Assignment_2
  3. Assignment_3
  4. Assignment_4