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This book aims to solve two major questions: To clarify the questions above, we need to define what is “big data.” In this book, big data is almost a synonym of “high-dimensional data.” The dataset, usually denoted as \(\mathbb {X}\) , is an \(n \times d\) matrix, where n is the sample size and d is the number of features (or feature dimension).

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Introduction

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  • 发表日期：

    2025年

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  • Junwei Lu

摘要

This book aims to solve two major questions: To clarify the questions above, we need to define what is “big data.” In this book, big data is almost a synonym of “high-dimensional data.” The dataset, usually denoted as \(\mathbb {X}\) , is an \(n \times d\) matrix, where n is the sample size and d is the number of features (or feature dimension).