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Machine Learning for the Internet of Things

  • Room 4.02 , Bayes Centre, 47 Potterrow Edinburgh, EH8 9BT (map)
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Free Event

Registration open soon

TMachine Learning for the Internet of Things: Building a Machine Learning Data Pipeline for Streaming Sensor Data

The event will be hosted by O'Reilly author and world-renowned data scientist Dr Ted Dunning and his colleagues from MapR, Data Lab and Censis.

Aimed at Industry specialists in Data Engineers, Senior Technical Architects, Data Scientists, Data Analysts, Machine Learning/Deep Learning Specialists, the workshop will be limited to 14 delegates who will get hands-on experience in building a data pipeline for Machine Learning using real sensor data and a variety of tools. Delegates will be expected to bring along there own laptop and the ability to access a wireless network.

The event will look at the way to bring together the world of sensors within The Internet of Things and discuss the value the data they create into the realm of Data Science and Machine Learning. How to garner value from the data to improve such areas as operational efficiency, improved environmental conditions. public access to data and improved lifestyle/health benefits.

This event is both technical and interactive and requires a delegate to have a good understanding of data science and machine learning. This is a great opportunity to meet machine learning experts and discuss your use cases and current challenges whilst looking and interacting with the latest ML/DL data platform to help expand your knowledge and help further your own data science ambitions.

Proposed Agenda, subject to review
Introduction to Why Data Logistics is so important to Machine Learning within the IoT Space
Delegates current data challenges with the IoT space Q&A session
Creating a data pipeline for the internet of things hands-on workshop
Summary of findings
Opportunity to setup one to one meetings post the event.