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 | |
|---|---|
| Anytime | Object-Oriented Programming Review |
| 27/11 | Data Exploration |
| 15/12 | Other AI techniques |
| 15/01 | Machine Learning models |
| 16/01 | Unsupervised Learning |
| 02/02 | Introduction to Deep Learning |
| 04/03 | Introduction to Time Series |
| 29/03 | Introduction to Natural Language Processing |
| 26/04 | Reinforcement Learning |
| 31/05 | Online Learning |
| 20-21/06 | Hackathon |
| 28/06 | 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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