Technical Due Diligence on companies with AI products and technologies Are you thinking about making an investment in a startup that allegedly uses AI or machine learning and would like a completely impartial assessment of their actual AI technology or products?
Key data science concepts from A to Z I’ve put together a short selection of some intermediate-level data science concepts which give you a good grounding in the field. A lot of these are based on a series of articles which I wrote for the excellent data science resource deepai.org. I’ve biased the list of data science concepts a bit towards natural language processing, because that’s the area I mainly work in.
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.
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