Explore the components, representations, and applications of finite-state machines.
Gabriele De Luca
Gabriele specializes in artificial intelligence and innovation and on the impact of technology on society. He has authored several scientific papers in the sectors of machine learning, natural language processing, network theory, and multi-agent simulations. On Baeldung he contributes to the section on computer science, where he publishes articles on the theory behind machine learning and artificial intelligence.
Here's what I've written (so far):
Explore the relationship between the number of support vectors and the performances of a support vector classifier.
Learn a conceptual difference between methods and functions.
Explore the Ackermann function and the problems associated with its computation.
Explore numeral systems and their associated concepts.
Learn about the ugly duckling theorem in its relationship with algorithmic bias.
Learn how to normalize the features of a table or dataset.
Learn about the Haversine formula for calculating great circle distances in spherical surfaces.
Explore an algorithm for placing nice gridlines on a bar chart.
Explore the difference between Omega notation for lower bounds and the Theta notation for tight bounds.