本书采用SAS公司的统计软件包JMP Pro进行实践性应用,使用引人入胜的实际案例来构建关键数据挖掘方法(尤其是分类和预测的预测模型)的理论及其实践理解。本书所讨论的主题包括数据可视化、降维、聚类、线性和逻辑回归、分类和回归树、判别分析、朴素贝叶斯、人工神经网络、增量模型、集成算法以及时间序列预测等。Language:Chinese.SoftCover.Pub Date:2018-06-01.publisher:Tsinghua University Press.description:Paperback. Pub Date: 2018-06-01 Pages: 399 Publisher: Tsinghua University Press This book uses SAS's statistical software package JMP Pro for practical applications. using compelling real-world examples to build key data mining methods (especially cl...
"synopsis" may belong to another edition of this title.
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2018-06-01 Pages: 399 Publisher: Tsinghua University Press This book uses SAS's statistical software package JMP Pro for practical applications. using compelling real-world examples to build key data mining methods (especially classification) And the predictive model of prediction and its practical understanding. The topics discussed in this book include data visualization. Seller Inventory # NK019856