Tag: machine learning
Machine Learning (ML) deals with how computer programs can learn and improve at performing a specific task when trained on historical data. ML is divided into unsupervised learning (such as clustering and topic modeling) and supervised learning (training a system on annotated examples). ML has been a central part of my research since my PhD studies, and even ended up in my thesis title.
Safe Machine Learning: Why Performance is Not Enough
An Abstraction Is Worth a Thousand Vibes
Excel Isn’t a Process, and Not All ‘Intelligence’ Is Smart
Sentiment Analysis for the Masses – How LLMs Changed the Game
RE and Large Language Models: Insights from a Panel
Human, What Must I Tell You?
Pipeline Infrastructure Required to Meet the Requirements on AI
Can RE Help to Better Prepare Industrial AI for the Commercial Scale?
