What are artificial neural networks and how do they learn? What do we use them for? What are some examples of artificial neural networks?
How Hybrid AI can combine the best of symbolic AI and machine learning to predict salaries, clinical trial risk and costs, and enhance chatbots.
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.
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