Mathematics and Computer Science: Research Updates Vol. 6

This book covers key areas of mathematics and computer science. The contributions by the authors include blast domination, artificial neural network, PyTorch neural network, python algorithms, exploratory data analysis, local outlier factor, fisher information matrix, Tchebycheff system, optimal design theory, hypergeometric function, Pochhammer symbol, cumulative distribution function, lifetime distribution, Exp-Rayleigh distribution, convolutional neural networks, object identification, single shot multibox detector, cloud computing, big data, recruitment processes, HR professionals, predictive analytics, gamma function, geoscientific reality, Wright’s generalized hypergeometric function, summation formulae, GeoGebra, teaching tool, mathematics, Riccati differential equation. This book contains various materials suitable for students, researchers, and academicians in the fields of mathematics and computer science.