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Fast Stylometry Python Library

Fast Stylometry Tutorial I’m introducing a Python library I’ve written, called faststylometry, which allows you to compare authors of texts by their writing style.

Environmental AI: How to reduce the Carbon Footprint of Machine Learning

In the light of the ongoing climate crisis, let’s talk about the carbon footprint of artificial intelligence. The everyday internet user might find it hard to fathom the fact that using ChatGPT or watching YouTube-recommended videos might generate greenhouse emissions.

NLP on under-resourced languages

Image from: harmonydata.ac.uk “Thinking too much” I have been working on the development of Harmony, a tool to help psychology researchers harmonise questionnaire items in plain text across languages so that they can combine datasets from disparate sources.

Legal chatbot using natural language processing to answer corporate insolvency questions

Insolvency bot, taking into account some statute law and some forms and some case law We have developed a bot using natural language processing to demonstrate the power of legal NLP.

Upcoming Dash in Action webinar on 7 June!

On 7 June, 2023, at 6pm UK time (1pm EDT), we will be presenting in the webinar Dash in Action: Image Processing, Forecasting, NLP.

Clinical Trial Risk Tool wins Plotly Dash challenge!

We’re proud to announce that the Clinical Trial Risk Tool has been selected as a winner of the Plotly Dash Example Apps Challenge (2023), out of 25 amazing apps submitted by the community!

Video: Unlocking business synergies with NLP

How can we evaluate generative language models?

I’m sure you will have seen news articles and social media posts about the recent generation of language models which are able to generate human-like text.

How do neural networks learn?

What are artificial neural networks and how do they learn? What do we use them for? What are some examples of artificial neural networks?

How can we assess the risk of a clinical trial using AI?

We designed the Clinical Trial Risk Tool, a clinical trial risk assessment tool using AI and NLP to quantify the risk of a trial ending uninformatively.

Is Data Science overhyped or is it the most exciting job of the 21st century?

In 2009, Hal Varian, Google Chief Economist, was quoted as saying to the McKinsey Quarterly: “The sexiest job in the next 10 years will be statisticians.

How fast can I become a data scientist?

‘Data Scientist’ was recently named by LinkedIn as “the most promising career” and according to a report by the US Bureau of Labour Statistics, there will be, on average, a 28% increase across the world in data science jobs by 2026.