Machine Learning for Multiple Domains: From Concepts to Implementation

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Online

Venue Information

Country: Turkey
Venue Details: Click here

Training Content and Scope

Level of Instruction
Beginner
Intermediate
Sector of the Target Audience
Research and Academia
Industry
Public Sector
Other (general public...)
HPC Profile of Target Audience
Application Users
Data Scientists
Language of Instruction

Other Information

Organiser
Event/Course Description

14 October 2024

(i) Information about the EuroCC Project and NCCs: This section covers activities such as training sessions, seminars, and conferences organised by the National Competence Centres on HPC+, along with the opportunities they offer.

(ii) TRUBA Supercomputer Access: Step-by-Step Guidance from HPC Experts:

HPC experts will guide participants through accessing the TRUBA HPC infrastructure during the hands-on sessions, and participants will have the opportunity to ask questions about the infrastructure.

(iii) Design, develop, deploy and iterate on production-grade ML applications 

Learning objective: Understand the MLOps concepts and the different phases in MLOps processes and identify different levels of MLOps maturity.

(iv) Protein language models and using them for downstream prediction task

Learning objective: Protein language models and how to use them in protein sequence prediction tasks

15 October 2024

(i) Modeling of large-scale social data 

Learning objective: Basic properties of social networks; how to efficiently to analyze large social networks using HPC infrastructure

(ii) Analyzing social media trends 

Learning objective: Participants will learn to use Python for Natural Language Processing (NLP) to analyze real-time social media data to identify trends and sentiments and provide valuable insights for business decisions.