Course taught in the Data and Knowledge 2nd year Master Program of Université Paris Saclay
2017-2018
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
– regression
– clustering
– frequent pattern mining
Instructors: Mostafa H. Chehreghani (Télécom ParisTech) and Albert Bifet (Télécom ParisTech)
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. Clustering Slides Birch Slides
- 4. Classifier Evaluation Slides
- 5. Classification Slides
- 6. scikit-learn Lab Slides (due 11th October 2017) Submission
- 7. scikit-learn Lab 2 Slides (due 25th October 2017) Submission
- 8. Link Analysis: PageRank and HITS Slides
- 9. Community Structure in Networks Slides
- 10. scikit-learn Lab 3 Slides (due 12th November 2017) Submission