This is the second ML-workshop out of two. The content of this workshop will be choosen by the participants in the first workshop that will be held on the 2 Maj. (The agenda will be updated after this.) You do not need to attended the first workshop to participate in this one. Dr. Jim Dowling from Logical Clocks AB will guide you through the workhop. Jim speaks both Swedish and English. The event is free of charge (with financing from Region Norrbotten och Tillväxtverket).
Content of the first workshop as an example:- What is Machine Learning? How do I build an end-to-end Machine Learning on TensorFlow and HopsworksData may be the new oil, but refined data is the fuel for AI. Machine learning (ML) systems are only as good as the data they are trained on and getting the data in the right format at the right time is a challenge. In this workshop, we will start with an introduction to ML, the opportunities it presents, and the challenges to becoming an AI-enabled company. We will then proceed to build an end-to-end ML pipeline using TensorFlow. To this end, we will then introduce the open-source Hopsworks platform, an end-to-end platform for ML on Big Data. SICS ICE hosts a managed version of the Hopsworks platform at www.hops.site, and our hands-on workshop will use GPUs/compute/storage on the SICS ICE platform.
We will walk you through the Hopsworks platform, writing an end-to-end deep learning application in only Python. Bring a laptop for the hands-on part, and it helps if you have written Python code before (although it is not a requirement). We will work with TensorFlow, and show scale out our application horizontally with Spark in Hopsworks. We will also walk through an ML pipelines that is orchestrated by Airflow.