Have you ever wondered about the role of AI in data science consulting? Read on and you can learn more about its importance and relevance.
With the rise of artificial intelligence, automation is becoming a part of everyday life. Natural Language Processing (NLP) has proven to be a key part of this breakthrough. Natural Language Processing bridges the gap between computers, AI, and computational linguistics. Learn more about NLP approaches this guide to statistical and symbolic NLP.
How can machine learning consulting deliver value to your business? Is the buzz about AI all hype? Thomas Wood from leading UK consultancy Fast Data Science explains.
Would you hire or date this person? There’s a catch: she doesn’t exist! I generated the image in a few seconds using the software StyleGAN. That’s why you can see some small artefacts in the image if you look carefully.
Introduction to AI in pharma Artificial intelligence is now affecting every area of our lives. From the self-driving cars that increasingly populate our roads, to the virtual assistants that live in our phones (and have spelt the end of anyone naming their child Siri or Alexa ever again). Nobody can question that, so far, AI has yielded a positive and far less apocalyptic effect on humanity than the killer-robots of Hollywood initially had us believe.
What is Natural Language Processing? Natural Language Processing (NLP) is the area of artificial intelligence dealing with human language and speech. It sits at the crossroads between a diverse number of disciplines, from linguistics to computer science and engineering, and of course, AI.
One rule for the establishment, another for everyone else… Owen Jones, The Guardian Dominic Cumming’s statement in the Rose Garden If you live in the UK it will have been hard to avoid the media coverage about Dominic Cummings’ trip to Durham just after the start of the Coronavirus lockdown.
We built a machine learning model to predict which shipping vessels are likely to be held in detention. The model made it into the shortlist of the Singapore Ocean of Opportunities AI Track, an internationally renowned event where competing companies aim to build AI solutions for the shipping industry. So what can machine learning deliver for the shipping industry?
How we explain how a neural network can recognise an image? Sometimes as data scientists we will encounter cases where we need to build a machine learning model that should not be a black box, but which should make transparent decisions that humans and businesses can understand. This can go against our instincts as scientists and engineers, as we would like to build the most accurate model possible.
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