Course taught in the Data and Knowledge 2nd year Master Program of Université Paris Saclay
2016-2017
The objective of this course is to be a first course on machine learning and data mining algorithms from a practical and a theoretical point of view. This is an introductory course that will set the basis for the more advanced courses on the second period. Topics covered include:
– classification
– deep learning
– clustering
– frequent pattern mining
Evaluation:
- 1/3 Lab Assignments
- 2/3 Final Test
Lecture Slides
- 1. Introduction to Machine Learning and Data Science Slides
- 2. Data Preparation Slides
- 3. scikit-learn Lab Slides (due 27th September 2016)
- 4. Classification Evaluation Slides
- 5. scikit-learn Lab 2 Slides (due 4th October 2016)
- 6. Classification Slides
- 7. scikit-learn Lab 3 Slides (due 25th October 2016)
- 8. Clustering Slides
- 9. Frequent Pattern Mining Slides
- 10. scikit-learn Lab 4 Slides (due 8th November 2016)