Through the EpiMed Open Course initiative, the Institut pour l'Avancée des Biosciences (IAB) and Grenoble Alpes University have launched courses available on Youtube. Researcher Ekaterina Flin offers here an introduction to artificial intelligence for the analysis of biological data and the study of cancer.
The course provides an overview of application areas and scientific questions that can be solved by AI approaches. It presents the basic principles of some classical methods in machine learning: logistic regression, SVM, neural networks. The course is illustrated with examples of the use of omics data for cancer diagnosis and prognosis.
Program :
- Artificial intelligence, machine learning, deep learning
- Machine learning versus expert systems
- Large classes of learning problems: supervised, unsupervised, by reinforcement
- Presentation of some classic methods
- Common Difficulties with AI Approaches and Possible Solutions
- Examples of the use of AI methods for the diagnosis and prognosis of cancers using omics data