4th Python and Machine Learning Bootcamp

Europe/Athens
Description
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). 
 
Registration
Participants
Evangelia Drakopoulou