کتاب دانلود کتب لاتین علوم مهندسیآمار و احتمال
یادگیری ماشین تحت نظارت - چارچوب بهینه سازی و برنامه های کاربردی با SAS و R
یادگیری ماشین تحت نظارت - چارچوب بهینه سازی و برنامه های کاربردی با SAS و R

Supervised Machine Learning: Optimization Framework and Applications with SAS and R
نویسنده:
سال انتشار: 2021
تعداد صفحات: 183
زبان فایل: انگلیسی
فرمت فایل: pdf
حجم فایل: 5MB
رمز فایل: www.ketabdownload.com
قیمت: 210,000ريال

افزودن به سبد دانلود

Publisher: Chapman and Hall/CRC

ISBN-10: 0367277328

ISBN-13: 978-0367277321

ASIN: B08FF49BT9

1st Edition

by Tanya Kolosova (Author), Samuel Berestizhevsky (Author)

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. The AI framework comprises of bootstrapping to create multiple training and testing data sets with various characteristics, design and analysis of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness of the classifiers.

Key Features:

Using ML methods by itself doesn’t ensure building classifiers that generalize well for new data

Identifying optimal feature subsets and hyper-parameters of ML methods can be resolved using design and analysis of statistical experiments

Using a bootstrapping approach to massive sampling of training and tests datasets with various data characteristics (e.g.: contaminated training sets) allows dealing with bias

Developing of SAS-based table-driven environment allows managing all meta-data related to the proposed AI framework and creating interoperability with R libraries to accomplish variety of statistical and machine-learning tasks

Computer programs in R and SAS that create AI framework are available on GitHub