As a leading UK Machine Learning Consultancy firm, how would we define machine learning? Machine learning (ML) is defined as the study of computer algorithms that improve automatically through experience. It can be seen as a subset of artificial intelligence. Machine learning algorithms build a model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms/ are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.e
A subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers; but not all machine learning is statistical learning. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.
Fast Data Science is a London, UK-based machine learning consultancy firm offering bespoke machine learning consulting services to organisations across industries. Our main area of focus is natural language processing (NLP). The manager, Thomas Wood, studied a Masters in 2008 at Cambridge University in Computer Speech, Text and Internet Technology and since then he has been working exclusively as a machine learning consultant mostly in NLP. In 2018 he founded Fast Data Science to deliver machine learning consulting services, focusing on NLP. We have built NLP pipelines from scratch, and worked on natural language dialogue systems, document classifiers and text based recommender systems. For these tasks we have used both traditional machine learning techniques as well as the state of the art such as neural networks. We normally use Python for our machine learning consultant work.
Fast Data Science - London
Our speciality area within machine learning is natural language processing (NLP). Examples of NLP include:
Today many companies, in particular in certain industries such as healthcare, pharmaceuticals, legal, and insurance, have large amounts of unstructured data. This is typically data in text format, which may even be unscanned documents, PDFs, HTML, or any other file type.
Unstructured data is very difficult to deal with but can contain a goldmine of information. Fast Data Science’s machine learning consulting offering focuses on extracting value from organisations’ unstructured datasets using ML and NLP.
Machine learning is being increasingly adopted across the healthcare sector. This technology is sometimes called healthtech or MedTech.
Machine learning consultants can use AI to compare and detect changes in clinical reports, extract clinical concepts such as MeSH terms from electronic medical records, and develop human-to-machine natural language dialogue systems to improve the healthcare experience.
We have consulted on a number of machine learning projects in healthcare, including:
The machine learning consulting work that we undertake at Fast Data Science involves mainly NLP models, including:
In our consulting work we use the following programming languages and frameworks:
We have consulted for major household names, and our machine learning projects include:
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