We will try to cover all the technical aspects of a Machine Learning oriented project through numerous Use Cases on 10 classes!
Download Syllabus| Schedule | |
|---|---|
| 08/10 | Introduction |
| 19/11 | ML Models |
| 10/12 | Unsupervised Learning |
| 14/01 | Other IA techniques |
| 11/02 | Introduction to DeepLearning |
| 11/03 | Introduction to TransferLearning |
| 15/04 | Introduction to Reinforcement Learning |
| 13/05 | Creation & Deployment of a Dataset |
| 17/06 | Reliable and explainable AI |
10, avenue Édouard-Belin
BP 54032 - 31055 Toulouse CEDEX 4
+33 (0)5 61 33 80 80
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