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Séminaires et conférences
par Francois Legrand - 1er février 2011
Aujourd'hui Vendredi 18 Juillet 2025
- Evénement2025-07-09 à 06:30
The East-African School for Young Researchers on Advanced Machine Learning Techniques (EASY-ML) was held at University of Nairobi, Chiromo Campus, from July 9th to 22nd, 2025.
The school is designed to introduce participants to core concepts, algorithms, and techniques in machine learning, with a focus on their application in scientific research. Through a combination of lectures and hands-on sessions, participants will gain practical experience in using machine learning tools to analyze data and address complex problems within their respective fields. This training aims to foster both innovative research approaches and effective problem-solving skills. Forty participants are selected based on the quality of their research and how machine learning can enhance it. It also prioritize diversity, with representation from Kenyan and other East African universities and research institutions, multidisciplinary backgrounds, and gender balance. In addition to the core program, the school includes networking sessions, an excursion, and a poster session for participants to present their work.
Facilitators come from France, South Africa and Kenya.
Main Topics
- Introduction to Machine Learning
- Ethics in Artificial Intelligence and Machine Learning
- Regression and Classification
- Artificial Neural Networks
- Unsupervised Learning
- Advanced Machine Learning Techniques (Convolutional Neural Networks, Boosted Decision Trees, etc.)
- Hands-on Practice with PyTorch
- Applied Machine-Learning Case Studies
- Participant-Led Projects
Short URL: https://indico.in2p3.fr/e/easy-ml
Prochainement
- Evénement2025-07-09 à 06:30
The East-African School for Young Researchers on Advanced Machine Learning Techniques (EASY-ML) was held at University of Nairobi, Chiromo Campus, from July 9th to 22nd, 2025.
The school is designed to introduce participants to core concepts, algorithms, and techniques in machine learning, with a focus on their application in scientific research. Through a combination of lectures and hands-on sessions, participants will gain practical experience in using machine learning tools to analyze data and address complex problems within their respective fields. This training aims to foster both innovative research approaches and effective problem-solving skills. Forty participants are selected based on the quality of their research and how machine learning can enhance it. It also prioritize diversity, with representation from Kenyan and other East African universities and research institutions, multidisciplinary backgrounds, and gender balance. In addition to the core program, the school includes networking sessions, an excursion, and a poster session for participants to present their work.
Facilitators come from France, South Africa and Kenya.
Main Topics
- Introduction to Machine Learning
- Ethics in Artificial Intelligence and Machine Learning
- Regression and Classification
- Artificial Neural Networks
- Unsupervised Learning
- Advanced Machine Learning Techniques (Convolutional Neural Networks, Boosted Decision Trees, etc.)
- Hands-on Practice with PyTorch
- Applied Machine-Learning Case Studies
- Participant-Led Projects
Short URL: https://indico.in2p3.fr/e/easy-ml
- Evénement2025-07-23 à 14:00
https://cern.zoom.us/j/69244885647?pwd=RmtCaHduZnBOYUR5azJmWEVUTXhrZz09
Planning des salles du LPNHE
Vendredi 18 Juillet 2025
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