The bootcamp will take place on July 15th - 19th in the Institute of Nuclear and Particle Physics of N.C.S.R. “Demokritos”.
Goal: The aim of this bootamp is to shape AI literate professionals with experience in real life problems and abilities to initiate. This bootcamp will provide a hands-on training in programming with Python for data analysis and Machine/Deep Learning techniques while in parallell teach attendants how to efficiently debug codes, accelerate the learning procedure and master these rapidly evolving techniques.
In the last day, attendants will have the opportunity to work in real life problems and compete on a Machine Learning challenge.
At the end of this program you will be able to:
program in Python using libraries
visualise datasets variables to extract useful information
analyse datasets
debug your codes
use efficiently state of the art Machine and Deep Learning techniques
understand, use and gain insight on Deep Learning Algorithms
perform end-to-end analysis on a real life problem and predict using Machine/Deep Learning techniques
A certification of attendance will be provided.
The registration will be on a first-come, first-served basis with a minimum attendance of 10 persons and a maximum attendance of 25 persons. You will be notified by email (by July 8th) if your application is successful.
Undergraduate and postgraduate students are encouraged to apply.
Registration deadline:5 July 2024
Prerequisites:
* This bootcamp requires physical presence.
* Attendants must have their own laptop. The use of Linux/Mac operating systems is strongly recommended.
* Some knowledge of python will be beneficial but it is not mandatory. However, a basic knowledge of programming is required.
Fees: 120€ for students (with active student card) and 200€ for other individuals.
Note: If you have attended a previous bootcamp but you would like to stay ahead of AI technologies you can attend from July 18th - 19th with a reduced fee of: 40€ (limited spots available, certification of attendance necessary).
A Data-lean and Cost-aware Approach to Artificial Intelligence for Science and Technology: Pubic Talkhttps://us02web.zoom.us/j/81297819620
https://us02web.zoom.us/j/81297819620
During this talk, the excellent INSANE and SciFY teams, a research group and a non-profit organization respectively, exploring Artificial Intelligence in Science, Technology and Society, will discuss the following topics:
* Objectives and challenges towards data lean Artificial Intelligence
* An active learning reasoning for multi-fidelity data input
* Studies - Cases - Approach
