University of Khartoum - Khartoum, Sudan
Learning the foundation of ML isn’t just about knowing how to code and do the math, there are concepts that are extremely needed in order to build your ML system, what types of models you should use? What is the data? How to make sure your model works? What are the challenges that may face you?
Many more questions in this session we will talk about machine learning and the pitfalls that we always want to avoid in every machine learning project.
Sunday, June 9, 2024
6:00 PM – 9:45 PM UTC
| 6:00 PM | Topics: 1. What is Machine Learning |
| 6:30 PM | 2. Types of Machine learning Systems |
| 7:00 PM | 3.Supervised vs Unsupervised |
| 7:30 PM | 4.Instance based vs model based |
| 8:00 PM | 5.Data Problems and model Problems |
| 8:30 PM | 6.Overfitting and Underfitting |
| 9:00 PM | 7. Hyperparameter tuning & model selection |
Technical Team (Machine Intelligence)
Technical Team (Machine Intelligence)
Media Team (Graphic | UI Designer)
Program Team (Program Manager)
Technical Team (web/mobile Development)
Program Team (Technical Manager)
Technical Team (Machine Intelligence)
Program Team (Program Manager)
Technical Team (Machine Intelligence)
Media Team (Content Writer)
Media Team (Content Writer)
Media Team (Content Writer | Social Media Manager)
Program Team (Moderator)
Media Team (Podcast and content Creation)
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