Machine Learning Marathon Conference 2.0
We are excited to announce that the IEEE ESSTHS Student Branch and its IEEE ESSTHS CIS Chapter, in collaboration with the Google Developer Student Club ISET Sousse, PYDATA, and Google Developers, have successfully organized the second edition of Machine Learning Marathon (MLM) conference.
The conference featured:
-3 workshops with 8 hours of content, offering to participants of different skill levels. Our beginner workshop covered the first steps of machine learning, while the intermediate workshop focused on training and deploying a custom classifier to Jetson Nano. The advanced workshop delved into the world of deep-learning computer vision.
-A 12-hour competition that provided participants with an opportunity to showcase their skills and win exciting prizes.
Date and Time
Location
Hosts
Registration
- Start time: 18 Mar 2023 07:00 AM UTC
- End time: 19 Mar 2023 11:00 AM UTC
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Speakers
Aziz Souai
Beginner Workshop
first steps in to ML (intro, data preprocessing and viz, hand-on code on basic ML algorithms)
Biography:
Artificial Intelligence and Python instructor at GOMYCODE
Address:Tunisia
Tarek Gasmi
Intermediate Workshop
Training and deploying a custom classifier to Jetson nano
Biography:
Engineer, PhD and MBA Microsoft Certified Trainer, Nvidia Certified Instructor. Assistant Professor at Isitcom and Founder of DataDoIt
Address:Tunisia
Oussama Smaoui
Advanced Workshop
Deep-learning computer vision
Biography:
ML Engineer/Computer Vision Data Scientist
Ghassen Khaled
MLOps and cloud computing
Biography:
Address:Tunisia
Mariam Dammak
Data scientist
Biography:
Data scientist at satoripop
Address:Tunisia
Dhia Eddine Khalfallah
AI Software Engineer
Biography:
AI Software Engineer at satoripop
Address:Tunisia
Kayoum djedidi
Digital-Twins & real-time simulation using hardware acceleration and FPGA computing
Biography:
Highly skilled professional in embedded systems and robotics with a bachelor in Embedded systems, currently pursuing an engineering degree in Microelectronics & Embedded systems. Good experience in software / hardware development and system design. Strong background in programming and multimedia, able to adapt quickly to new technologies. Proven leadership skills, problem-solving abilities, and a passion for continuous learning and community focused projects.
Address:Tunisia
Bassem Gouty
The rise of LLMs
Biography:
I study software engineering ( night classes ) , I work as a data scientist / Backend Engineer and I do instructing / code tutoring
Address:Tunisia
Agenda
8:00-9:00 -> check in
9:00-10:00 -> opening ceremony
10:00-12:00 -> speakers and workshops 1
12:00-13:30 -> lunch
13:30-15:30 -> speakers and workshops 2
15:30-16:00 -> coffee break
16:00-18:30 -> speakers and workshops 3
18:30-20:30 -> team building
20:30-21:30 ->dinner
21:30(18 march)-11:30(19 march): challenge announcement
11:30-12:00 -> winners announcement