Fiches de cours

Introduction to machine learning for bioengineers

BIO-322

Enseignant(s) :

Brea Johanni Michael

Langue:

English

Summary

Students understand basic concepts and methods of machine learning. They can describe them in mathematical terms and can apply them to real-world problems. They are familiar with some state-of-the-art machine learning tools for life sciences.

Content

Learning Prerequisites

Required courses

''Algèbre linéaire, Analyse, Analyse numérique, Probabilities and statistics I & II

Learning Outcomes

By the end of the course, the student must be able to:

Teaching methods

Lecture, programming labs and exercises.

Assessment methods

Mid-term and final exam.

Resources

Bibliography

"An Introduction to Statistical Learning, with Applications in R" by
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
online available at http://faculty.marshall.usc.edu/gareth-james/ISL/

Dans les plans d'études

Semaine de référence

 LuMaMeJeVe
8-9  AAC137  
9-10    
10-11     
11-12     
12-13     
13-14     
14-15     
15-16    AAC137
16-17    
17-18     
18-19     
19-20     
20-21     
21-22     
 
      Cours
      Exercice, TP
      Projet, autre

légende

  • Semestre d'automne
  • Session d'hiver
  • Semestre de printemps
  • Session d'été
  • Cours en français
  • Cours en anglais
  • Cours en allemand