Learn about the ugly duckling theorem in its relationship with algorithmic bias.
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):
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.
Study the roulette wheel selection method for genetic algorithms.
Learn how to determine whether a point is inside a polygon or not.
Learn how to determine a nice scale for the Y axis in a chart.
Explore how to generate a pseudorandom variable that’s distributed normally.
Compare gradient descent and Newton’s method for finding the minima in a cost function.