Cracking the code: Python for data analytics
Join our digital manufacturing experts as they demonstrate the importance of machine learning in data analysis and how it can help you make more informed and effective decisions for your business.
Many people still think of machine learning as a futuristic idea that isn’t applicable in the real world. During this webinar this myth will be dispelled as you are given a guided tour of Python, a pioneering software in the field of programming languages for machine learning technologies. You will be shown key tools that you can employ to help you and your fellow decision makers.
This session is aimed at individuals and teams carrying out data analysis of any sort and will be presented in a way that is accessible by all, regardless of technical background.
Speakers
Paul McHard is a research and development engineer within the digital manufacturing team at NMIS where he is focused on developing technologies for digital transformation of manufacturing processes in partnership with industry and academia.
Working for NMIS since January 2020, Paul has led projects within the digital manufacturing team focussed on embedded systems development, machine learning and AI. He is also involved in the RESuME testbed project, primarily focussing on the IIoT, data lake and analytics aspects of the project.
Andrew Hamilton is a senior research and development engineer within the NMIS digital manufacturing team where he is focused on developing technologies for digital transformation of manufacturing processes in partnership with industry and academia.
Working for the University of Strathclyde since 2013, Andrew has led projects within sensor systems and data analysis for industrial applications. Key successes include creating new data acquisition and control systems for aerospace manufacturing and MRO, data analysis for distributed sensor networks in agriculture, and developing machine learning systems for time-series data.
John Reilly is a research and development engineer within the NMIS digital manufacturing team where he is focused on developing technologies for digital transformation of manufacturing processes in partnership with industry and academia.
Working for NMIS since January 2020, John has created a learning series on Python for data analysis for NMIS and their partners, additionally he leads the 5G networking and storage work packages for the RESuME testbed.
Register to attend
Register hereDates & Venues
| Date | Wednesday, October 7, 2020 |
|---|---|
| Location | Webinar |
| Duration | 11.30 - 12.30 |