内容简介
书名：Information Theory for Data Science出版社：KAIST
作者：Changho Suh, KAIST, South Korea
出版年份：2023
电子书格式： pdf
简介：This book, “Information Theory for Data Science,” provides a comprehensive exploration of information theory principles as applied to data science. It delves into key concepts like entropy, mutual information, and channel capacity, offering practical applications for data compression, feature selection, and machine learning. Suitable for students and professionals in data science, machine learning, and related fields, this text bridges the gap between theoretical foundations and practical implementation. Written by Changho Suh, this resource is essential for those looking to build a strong foundation in information theory for data science.
ISBN：9781638281153, 97816
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