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Introduction to Spark for Machine Learning

LIBER is excited to announce a brand new workshop series on the topic of ‘Applying and deploying Artificial Intelligence (AI) in GLAMs’.

5 workshops will take place from the 29th of March to 2 April 2021. The workshops are organised by AI4LAM (Teaching and Learning Working Group) and co-hosted by LIBER and the BnF.

The aim of the workshops is to provide training opportunities for those interested in applying and deploying Artificial Intelligence (AI) in Libraries, Galleries, Archives, and Museums.

The series will bring together a diverse community of experts with subject and domain expertise, as well as technologists across GLAM institutions for a collaborative learning event to share tools and experiences and to reflect on the process of applying AI and its implications for GLAM institutions.

Details of the Workshops

2 April 2021 (15:00-17:00 CEST) – Introduction to Spark for Machine Learning
host: BnF

This workshop will introduce participants to Apache Spark and its uses for machine learning. Through a combination of mini-lectures and hands-on training, the trainers will explore:

• the basic concepts behind Spark and cluster computing;
• using the Spark Machine Learning pipeline;
• applications of Spark in a GLAM setting;
• and deployment to an AWS cloud cluster.

Apache Spark is a popular, open-source machine learning tool with many relevant applications for the GLAM community. With a local deployment and a modestly-sized dataset, it can be used as a teaching/training tool for machine learning. It can also be used as part of a production system or research project with very large datasets and can be deployed economically to cloud clusters. This workshop will demonstrate Spark’s machine learning capabilities, and help participants determine if it would be a good fit for their projects.




LIBER Europe