We will try to cover all the technical aspects of a Machine Learning oriented project through numerous Use Cases on 12 classes!
Download Syllabus| Schedule | |
|---|---|
| 25/10 | Object-Oriented Programming Review |
| 25/11 | Data Exploration |
| 13/12 | Other AI techniques |
| 13/01 | Machine Learning models |
| 31/01 | Introduction to Deep Learning |
| 03/03 | Introduction to Time Series |
| 14/03 | Unsupervised Learning |
| 28/03 | Natural Language Processing 1 |
| 11/04 | Reliable and Explainable AI |
| 23/05 | Natural Language Processing 2 |
| 19-20/06 | Hackathon |
| 27/06 | Reinforcement Learning |
10, avenue Édouard-Belin
BP 54032 - 31055 Toulouse CEDEX 4
+33 (0)5 61 33 80 80
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