What we're about

A friendly meet up with speakers invited to give a 30 min talk
on a wide range of Data related topics ranging from

Open Data
Self-service analysis,
Business Intelligence,
Data integration,
AI/Data Science

Initially planning to host the meet up every other month.

Upstairs at the Cornerhouse in Chester City centre. Within walking distance of the train station.

Goals are :

Demystify data analysis
Demonstrate how data can be used to enrich business and society
Develop an open discussion on data ethics

People across society with an interest in data are welcome.

Please only RSVP if you will be attending the meetup and try and adjust your previous RSVP if you can no longer attend as this will help us greatly.

We very much look forward to seeing you

Upcoming events (1)

Accelerating Data Science on large datasets using GPUs and NVIDIA RAPIDS

Theme : GPU Computing Speaker: John Murray is owner of Fusion Data Science and a research fellow in the geographic data science lab at the University of Liverpool. He's spent more than 40 years working at the cutting edge of data analysis. Before his current roles, John was technical director of NDL, a consumer survey company that's now part of Acxiom. John started his career at Reader's Digest, where he pioneered the use of data analytics to predict customer behaviour Abstract: Moore’s Law is Dead. Limitations in the ability to shrink transistors further have stalled the exponential growth of CPU power in the last few years. To satisfy the demands of modern computing requirements, data scientists are increasing turning to parallelisation to analyse large and complex datasets. The massively parallel computing capability of Graphics Processing Units (GPUs), originally designed for gaming, is increasingly being leveraged to perform computationally intensive tasks such as mathematical modelling, statistical analysis, graph analysis and deep learning on large datasets. John will present an introduction to GPU computing, followed by a live demonstration of NVIDIA’s new open source RAPIDS accelerated data science platform, which implements Pandas like dataframes on GPUs, achieving speed ups of more than 1000 times that of a top end CPU on large datasets. RAPIDS also simplifies the process of implementing GPU computing by removing the need to learn CUDA through a Python interface. John will also show how you can easily port your existing functions to work with RAPIDS. 7pm start Talk 1 - 7:15pm - Session 1 Break for drinks & networking Talk 2 - 8:00pm - Session 2 There will be time for Q&A as well as networking at the bar downstairs.

Past events (2)

Utilising Open Data

The Cornerhouse

Photos (2)