We will try to cover all the technical aspects of a Machine Learning oriented project through numerous Use Cases on 10 classes!
Download SyllabusSchedule | |
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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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