Many applications of machine learning in business are complex, but we can achieve a lot by scoring risk on an additive scale from 0 to 10.
Natural language processing can distinguish customers from salespeople Is it possible to use natural language processing (NLP) to distinguish between unwanted sales approaches and promising leads for a business’s customer relationship management?
Job postings for data science consultants have increased an amazing 256% since 2013. Why? The need for data collection and processing is everywhere.
Some ways that we can model causal effects using machine learning, statistics and econometrics, from a sixth-century religious text to the causal machine learning of 2021 including causal natural language processing.
What is unsupervised learning? When we think about acquiring a skill or learning a new subject, most of us see that process involving a teacher passing their knowledge on to us.
Explainable AI, or XAI, refers to a collection of ways we can analyse machine learning models. It is the opposite of the so-called ‘black box’, a machine learning model whose decisions can’t be understood or explained.
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.
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.
What is Natural Language Processing? Natural Language Processing (NLP) is the area of artificial intelligence dealing with human language and speech.
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.
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.
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