File information

File size

1.05 MB


Upload date

18 May 2026


Downloads

11 downloads


EQF level

EQF Level 7 EQF Level 6 EQF Level 5
Inherited from the project


Copyright license

CC BY-NC-SA: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Inherited from the project

Educational information

Target Group

Employees and professionals Trainers University students
Automatically identified by ESL


Resource Type

Presentation
Automatically identified by ESL


Language

Greek
Automatically identified by ESL


Education Sector

Continuing professional development Higher education
Automatically identified by ESL


Estimated Learning Duration

30–60 minutes
Automatically identified by ESL

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Machine learning algorithms for anomaly detection Greek.pptx

This PowerPoint presentation provides an introduction to machine learning algorithms for anomaly detection, covering various techniques such as clustering, autoencoders, and one-class support vector machines. It details the steps involved in applying machine learning, including data collection, processing, and model evaluation, and addresses challenges like overfitting and hyperparameter tuning, with examples and references included. AI generated

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Project information

CyberSecPro logo
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Acronym

CyberSecPro


Title

Collaborative, Multi-modal and Agile Professional Cybersecurity Training Program for A Skilled Workforce In the European Digital Single Market and Industries


Description

CyberSecPro promotes a conceptual disruptive approach with regards to existing approaches to training solutions. The project contributes to the broader need for cybersecurity marketing skills and technical/practical capabilities.
CyberSecPro aims to upskill and develop a workforce capable of overcoming the increasing security challenges that will burden innovation and excellence. This overarching goal can be achieved with the methodology adopted in the CyberSecPro project.
Further, the project utilises the processes developed within many EU Cybersecurity pilot projects and adppts relevant EU innovation and development work:

CyberSecPro will drive the HEIs to further enhance their cooperation with the private sector, in order to become the main suppliers of the necessary market-oriented cybersecurity skills and working-life practices required in the digital transformation, via providing hands-on trainings.


Project Duration

Dec 2022 to Feb 2026


Project EQF levels

EQF Level 7 EQF Level 6 EQF Level 5


Project Reference Code/ID

N/A


Project copyright license

CC BY-NC-SA: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)


Materials

747 files | 8.38 GB


Last updated

05/2026


Download Statistics

8229 file downloads | 92.43 GB

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