However, algorithms are not a perfect answer. There are biases behind the data, and the construction of models is based on ...

This paper presents convergence analysis of some algorithms for solving systems of nonlinear equations defined by locally Lipschitzian functions. For the directional derivative-based and the ...

Machine Learning Models: Using algorithms like neural networks and random forests, these models train prediction models from large samples of match data, gradually improving accuracy. This shift marks ...

Ready to analyze Google's search algorithms and learn all the secrets of ranking? Here's what you will need to do it correctly.

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

An algorithm is proposed for performing harmonic analysis of tonal music. The algorithm begins with a representation of a piece as pitches and durations; it generates a representation in which the ...

But based on analysis of older versions of the algorithm, suspected to be in use until 2020, La Quadrature du Net claims the model discriminates against marginalized groups by scoring people who ...