What is explainable AI? Explainable AI, or XAI, is a set of methods and techniques that allow us to understand how a machine learning model works and why it makes the decisions it does. Without XAI, a machine learning model might be a “black box”, where even the developers cannot understand it they arrived at a certain decision.
How does Deep Learning work and are we really still in control? Deep Learning models are evolving, as are we Your mobile phone receives an alert. You take it from your pocket and look at the screen. Face recognition unlocks the phone, and you read a message your sister just sent. You laugh and then share it by selecting a group of friends who will also find it amusing. You add an instant voice message to the share and tell the phone to send it.
People often ask us, what kind of consulting do we do at Fast Data Science? If we say NLP, the next question is normally, ‘what is NLP?’, and we need to explain a bit further what NLP stands for and what it means.
AI in healthcare simplifies the lives of patients and doctors because routine tasks can be performed more accurately and in less time.
Introduction What is Natural Language Processing and where is NLP heading over the next few years? By the UK-based NLP consulting company Fast Data Science.
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 we can do for you
