It was snowing in Berlin as I arrived, late on a night in January. Not the most encouraging of weather, but the following morning the sun was shining, the air was clear, and it was warming indeed to see the Berlin Academy of Sciences, venue …
Author: Michael Upshall Page 2 of 10
Tutorials about machine learning are, it seems two a penny. However, guides to machine learning by machine learning experts, however solid they may be as textbooks, frequently seem to lack ways in which the tools can be applied to a particular domain – in my …
Many years ago, when there were new and second-hand bookshops all the way along London’s Charing Cross Road , there was a memorable bookshop called Joseph Poole. Much of my reading in my late teens and early twenties originate in that shop.
They did sell …
Yet again Rave Technologies assembled an impressive cast of speakers for their annual publishing event (London, October 2017). Despite the event being managed by a vendor, Rave resists any attempt to turn it into a corporate showcase.
This year the theme was broadly based around innovation, …
An interesting report, based on a 2015 survey but published 2016, gives an overview into how one major university, Oxford, enables its users to find information about its own collections – not just researchers, but institutional staff (such as museum curators) as well.…
David Crotty posted a fascinating article on Scholarly Kitchen last week, highlighting a fundamental difference between scientific and humanities academic publishing. His argument related to open-access publishing, but this simply highlights the distinction between the two kinds of activity. Is that distinction justified?
The difference …
I don’t think the title “Deep Text” does this book any favours – a more accurate description might be “Text Analytics within the Enterprise” – less catchy, but certainly more intelligible, and more indicative of what this book covers. From the title, you might think …
Some people would claim there is an uncanny parallel between the methods used by Sherlock Holmes and machine learning. In both cases an apparently insoluble problem is suddenly resolved using nothing but careful assessment of the available evidence. In both cases we are startled that …
A medical diagnosis chatbot and a scholarly analysis of clinical patient records don’t appear to be in any way related. Yet there are similarities between the two, as became apparent at this London Text Analytics Meetup (23 February).
Entitled, rather mystifyingly, a “life sciences special”, …