A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML).
Applied Machine Learning for Data Science Practitioners offers ……続きを見る
This treatise delves into the latest advancements in stochastic volatility models, highlighting the utilization of Markov chain Monte Carlo simulations for estimating model parameters and forecastin……続きを見る
著者：Yasushi Asako
出版社： Taylor & Francis
発売日： 2020年09月24日
Electoral promises help to win votes and political candidates, or parties should strategically choose what they can deliver to win an election. Past game-theoretical studies tend to ignore electoral……続きを見る
This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and active techniques. Passive techniques observe the scen……続きを見る
This book begins with the fundamental large sample theory, estimating ruin probability, and ends by dealing with the latest issues of estimating the Gerber–Shiu function. This book is the first to i……続きを見る
