| 书目名称 | Econometrics and Data Science | | 副标题 | Apply Data Science T | | 编辑 | Tshepo Chris Nokeri | | 视频video | | | 概述 | Simplifies the economic research process from data acquisition to model development and performance evaluation.Introduces the use of mediating variables and ways of creating models that study multiple | | 图书封面 |  | | 描述 | Get up to speed on the application of machine learning approaches in macroeconomic research. This book brings together economics and data science..Author Tshepo Chris Nokeri begins by introducing you to covariance analysis, correlation analysis, cross-validation, hyperparameter optimization, regression analysis, and residual analysis. In addition, he presents an approach to contend with multi-collinearity. He then debunks a time series model recognized as the additive model. He reveals a technique for binarizing an economic feature to perform classification analysis using logistic regression. He brings in the Hidden Markov Model, used to discover hidden patterns and growth in the world economy. The author demonstrates unsupervised machine learning techniques such as principal component analysis and cluster analysis. Key deep learning concepts and ways of structuring artificial neural networks are explored along with training them and assessing their performance. The Monte Carlo simulation technique is applied to stimulate the purchasing power of money in an economy. Lastly, the Structural Equation Model (SEM) is considered to integrate correlation analysis, factor analysis, multiva | | 出版日期 | Book 2022 | | 关键词 | Data Science; Econometrics; Machine learning; Statistics; Deep Learning; Neural Networks; Time Series Anal | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-7434-7 | | isbn_softcover | 978-1-4842-7433-0 | | isbn_ebook | 978-1-4842-7434-7 | | copyright | Tshepo Chris Nokeri 2022 |
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发表于 2025-3-21 19:18:04
