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Big Data Course Plymouth Uni
No small talk for big data: Software Solved spend time with Amazon scientist at Plymouth University
No small talk for big data: Software Solved spend time with Amazon scientist at Plymouth University 629 437 Aneeq Rehman

If you want to learn about how machine learning is being applied in the business world, e-commerce giant Amazon is a good place to start.

Software Solved’s Aneeq ur Rehman spent a week with big data experts including Amazon’s Dr Zhenwen Dai at a course at Plymouth University.

Supported by the Environmental Futures of Big Data Impact Lab, the course was led by Dr Antonia Rago alongside key academic figures from the Mathematical Sciences department including Dr Mu Nui, Dr Matthew Craven, Dr Malgorzata Wojtys and Dr Craig McNeile.

That’s a lot of Doctors – all experts in their respective fields!

Dr Zhenwen Dai, a Machine Learning Scientist at Amazon, whose, research interests include the development of scalable probabilistic models and inference methods for autonomous learning from real world data was one of the keynote speakers who shared his expertise with Aneeq and others on the course on probabilistic approaches to deal with huge volumes of data.

Aneeq, who is at Software Solved as part of our own machine learning research project, running in partnership with Plymouth University and funded by Innovate UK, said: “The course was about enhancing people’s understanding of big data and how to use and derive value from large volumes of data to make smarter decisions. Large volumes of data in machine learning often require flexible models that can imitate the way the human brain processes data and assimilates multiple sources. That was a key aspect of what we learnt.”

Topics covered included Gaussian process, machine learning and neural networks.

  • Dr Mu Niu – overview of Gaussian Process, different models and how they function in theory and practise
  • Dr Matthew Craven and Dr Malgorzata Wojtys – detailed explanation into various machine learning parametric methods
  • Dr Craig McNeile – summary of deep learning and neural networks and running hands-on workshops and exercises to learn more about topological data analysis and high-performance computer facilities.

Aneeq, already a Masters Graduate in Data Science himself, added: “It was a good knowledge sharing platform with a blend of workshops, practical exercises and lectures. We reviewed many interesting topics such as topological data analysis, neural network design and artificial neural networks. In addition to this, we also got insights into some of the cutting-edge research and practices in the world of big data and AI.

There were also intriguing discussions over the use of neural networks and gaussian processes and good comparisons over their use and limitations. Some of it was a good refresher session for me, some of it really new and interesting.

It’s all highly relevant to the research work I’m doing at Software Solved into the application of machine learning and advanced data analytics for risk modelling and mitigation for the insurance sector.

It was great to meet with other students and learn from the academics and other organisations. It’s technical but truly fascinating and a fundamental part of how organisations will operate, interpret and derive value from the data in the 21st century- the advantages of which are manifold.”

Author: Aneeq Ur Rehman is Software Solved’s Knowledge Transfer Partnership Associate from Plymouth University

Software Solved are specialists in giving organisation’s a competitive edge through software and data. Contact 01392 453344 to find out more.

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Innovate UK Machine Learning Project Team
Living the dream with Eric Clapton, ice-cream and machine learning…
Living the dream with Eric Clapton, ice-cream and machine learning… 1024 680 Jon Stace

So, what are the best collaborations in history? Eric Clapton lends a mighty ‘slow’ hand to The Beatles’ While My Guitar Gently Weeps. Ben Cohen and Jerry Greenfield shared a passion for the frozen stuff before going into business together. Today they are worth an estimated $150m, each. And I’m not even going to mention what became of the pairing of the ‘Steves’, as in Jobs and Wozniak.

Machine learning collaboration

At Software Solved we’ve got our very own and very exciting collaboration going on. It’s not music or food related even though we do have plenty of talent in that department. But we’ll save that for a later blog.

We’ve teamed up with some very clever people at Plymouth University and our client RSA UK. Backed by funding from Innovate UK, we have collectively fired the starting gun on an exciting two-year research programme into machine learning and advanced data analytics for the corporate insurance sector.

Data insight

Leveraging data architectures to model relationships and interactions to mitigate risk, the aim is to derive greater value from the large volumes of datasets used in the industry.

Dr Ian Howard and Dr Luciana Dalla Valle of the University of Plymouth are providing research expertise in the areas of machine learning and pattern recognition, data modelling, statistics and predictive analytics, with Aneeq Ur Rehman, Knowledge Transfer Partnership Associate, being based at Software Solved for the project.

RSA UK role

RSA UK are another key partner in the project. We already have a close working relationship with them. Their underwriters use the award-winning RSAred application for a real-time view of risk, along with a secure, mobile-accessible client risk portal for brokers and customers to understand, benchmark and manage property and casualty risk in real time, both created by Software Solved.

With all this in mind, and with RSA UK’s experience as one of the world’s longest standing and most forward-thinking of general insurers, it made perfect sense to invite them to be part of the project. They will be providing the data and working closely with us so they and their clients can benefit from the advantages of automated data integration in risk assessment.

We’ll be updating everyone on the project as it progresses and we will be looking to hold some workshops at key milestones to involve and share with others.

Special thanks to Innovate UK for funding the project and if you’d be interested in joining one of those workshops (in person or online), or if there are other truly great collaborations we clearly should have flagged, then walk this way and tell me! jon.stace@softwaresolved.com

Jon Stace, Principal Technical Consultant and project lead

 

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