Tag Archives: R&D

Natural Language Processing (NLP) Aspects of Machine Learning

This is part three of an eight part brain-dump of things I learned developing the initial version of the Machine Learning (ML) aspect of SYRAS the Systematic Review Assistant. One of the things which seems obvious in retrospect, but hampered … Continue reading

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Machine Learning tips I learned making SYRAS Systematic Review Assistant

This is part two of an eight part brain-dump of things I learned developing the initial version of the Machine Learning (ML) aspect of SYRAS the Systematic Review Assistant. A collection of Machine Learning (ML) tips, gotchas and reminders to … Continue reading

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Machine Learning evaluation study for SYRAS (Systematic Review Assistant)

My original goal for SYRAS, the Systematic Review Assistant, was to try to automate the laborious process of reviewing thousands of scientific article references while selecting their relevance to a particular topic of study. During the initial development of the software, once … Continue reading

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Introducing Systematic Review Assistant

I’ve been busy. Since July last year all my spare time has been taken up with a new initiative which I am now proud to launch into “early beta”: a systematic review assistant to help perform the laborious task of … Continue reading

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Trialling the ELK stack from Elastic

As part of my ongoing research into big-data visualisation and infrastructure and application management tools it came to give ELK a test run to check if it’s suited to my needs. I’ve already looked at a few others (which I will detail … Continue reading

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Techniques in Fostering Innovation

In this article on Deepend’s Chrysalis, I’d like to present some of the interesting topics which have surfaced at Deepend while implementing a drive to foster a culture of innovation in our organisation. These include dealing with failure, redefining the … Continue reading

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