发帖
雷达卡
Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman
Solutions Manual
to Accompany
Data Science and Machine Learning:
Mathematical and Statistical Methods
The solutions manual covers a wide range of exercises in data analysis, statistical learning, Monte Carlo methods, unsupervised learning, regression, regularization and kernel methods, classification, decision trees and ensemble methods, and deep learning. Our choice of using Python was motivated by its ease of use and clarity of syntax.
Reference numbers to DSML are indicated in boldface blue font. For example, Definition 1.1.1 refers to the corresponding definition in DSML, and (1.7) refers to equation (1.7) in DSML, whereas Figure 1.1 refers to the first numbered figure in the present document.
solutions.pdf
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