We will try to cover all the technical aspects of a Machine Learning oriented project through numerous Use Cases on 10 classes!
Download SyllabusSchedule | |
---|---|
28/10 | Introduction |
25/11 | Data Exploration |
16/12 | Other IA techniques |
13/01 | Machine Learning models |
03/02 | Unsupervised Learning |
03/03 | Online Learning |
31/03 | Introduction to DeepLearning |
28/04 | Reinforcement Learning |
26/05 | Transfer Learning |
23/06 | 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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