Textbook | Current courses | OpenClassrooms | Continuing education | Older courses

All teaching materials on this page are shared under a CC BY-NC 4.0 license. If you're interested in sources, or older versions of slides, just ask me.

Textbook

Livre à destination des des élèves ingénieur·e·s ou mastérien·ne·s : Introduction au Machine Learning. Chloé-Agathe Azencott, Collection InfoSup, Dunod, 2018. EAN: 9782100780808.

2018 – 2019 courses

December 2018: Machine learning for therapeutic research
Second part of a two-hours lecture taught with Thomas Walter in the Chemical Frontiers of Living Matter M.Sc. of PSL [slides].

October 2018: Efficient multi-locus biomarker discovery
Une demi-journée dans le cadre du Master M2BI de Paris Diderot [slides].

Fall 2018: Introduction to Genomics and Bioinformatics
This is a 40-hour course I'm organizing with Thomas Walter for second year students at Mines ParisTech.

Online courses

Data scientist online lectures (in French) with OpenClassrooms
Responsable du parcours « Data Scientist », d'OpenClassrooms, en collaboration avec CentraleSupélec. Cours actuellement disponibles :

Continuing education

I teach various continuing education courses in machine learning, for example with CentraleSupelec Executive Education or for individual companies. Over the course of one or two days, I propose to introduce participants to various machine learning concepts. The courses can include practical sessions in Python.

Older courses

March 2018: Large scale machine learning
A 5-day intensive course for third year students at Mines ParisTech and more.

October 2017: Machine learning for therapeutic research
Second part of a two-hours lecture I taught with Thomas Walter as part of the Chemical Frontiers of Living Matter M.Sc. of PSL.

October 2017: Efficient multi-locus biomarker discovery
Une journée dans le cadre du Master M2BI de Paris Diderot [TP (Github)].

Fall 2017: Foundations of Machine Learning
A 33-hour course at Ecole Centrale Paris, as part of their Engineering Program. See the course website.

Fall 2017: Introduction to Genomics and Bioinformatics
A 40-hour course co-organized with Thomas Walter for second year students at Mines ParisTech.

BioComp Summer School 2017
Around Machine Learning in 90 Minutes [slides]
Interpretable Machine Learning for Precision Medicine [slides].

The 2017 Microbiome Summer School
Machine learning for efficient biomarker discovery [slides] [tutorial].

March 2017: Large scale machine learning and data mining
A 5-day intensive course for third year students at Mines ParisTech and more. [Course website] [Practical sessions].

October 2016: Fouille de donnéees de type graphe et applications chémoinformatiques
Une journée dans le cadre du Master M2BI de Paris Diderot. [slides] [TD].

Fall 2016: Introduction to Genomics and Bioinformatics
A 40-hour course I'm organizing with Thomas Walter for second year students at Mines ParisTech.

  • Bioinformatics databases (75 min lab, in French) [slides (pdf)] [handout (pdf)]
  • Machine learning for bioinformatics (2 x 75 min lecture);
  • Support vector machines (75 min lecture, in French);
  • Tree-based machine learning methods (30 min lecture, in French);
  • Clustering gene expression data (2h).

Fall 2016: Foundations of Machine Learning
This is a 33-hour course I'm teaching at Ecole Centrale Paris, as part of their Engineering Program as well as their M.Sc. in Data Science.

May 2016: Support vector machines, graph kernels, & bioinformatics
Intervention dans le cours Apprentissage automatique à Mines ParisTech [slides] [TP] (par Benoit Playe et Peter Naylor).

January 2016: Fouille de donnéees de type graphe et applications chémoinformatiques
Une journée dans le cadre du Master M2BI de Paris Diderot.

Fall 2015: Introduction to Genomics and Bioinformatics
A 40-hour course organized with Thomas Walter for second year students at Mines ParisTech.

  • Machine learning for bioinformatics (4h lecture);
  • Clustering gene expression data (3h);
  • The drug discovery pipeline (4h).

Fall 2015: Foundations of Machine Learning
A 33-hour course at Ecole Centrale Paris, as part of their Engineering Program as well as their M.Sc. in Data Science.

May 2015: Support vector machines
A lecture mostly based on materials from Jean-Philippe Vert. Part of a Machine Learning course for second year students at Mines ParisTech. [practical session] (by Matahi Moarii and Marine Le Morvan).

January 2015: Graph mining and chemoinformatics
Lecture in a bioinformatics masters program at Université Paris Diderot.

Fall 2014: Introduction to Genomics and Bioinformatics
A course organized with Véronique Stoven and Thomas Walter for second year students at Mines ParisTech.

  • Gene expression (4h);
  • The drug discovery pipeline (4h).

Winter 2012-13: Data Mining in Bioinformatics
Course (M.Sc. level) taught with Karsten Borgwardt and Dominik Grimm at the University of Tübingen. Course website here. Lecture slides:

  • Day 5: Frequent subgraph mining [pdf];
  • Day 7: Clustering in bioinformatics: clustering gene expression data [pdf];
  • Day 9: Graph mining for chemoinformatics and drug discovery [pdf].

Winter 2011-12: Data Mining in Bioinformatics
Course (M. Sc. level) taught with Karsten Borgwardt at the University of Tübingen. Course website here.

  • Day 3: Frequent subgraph mining;
  • Day 8: Graph mining for chemoinformatics and drug discovery.