- Statistics for Data Science
- James D. Miller
- 115字
- 2021-07-02 14:58:53
Coding
Coding or statistical coding is again a process that a data scientist will use to prepare data for analysis. In this process, both quantitative data values (such as income or years of education) and qualitative data (such as race or gender) are categorized or coded in a consistent way.
Coding is performed by a data scientist for various reasons such as follows:
- More effective for running statistical models
- Computers understand the variables
- Accountability--so the data scientist can run models blind, or without knowing what variables stand for, to reduce programming/author bias
You can imagine the process of coding as the means to transform data into a form required for a system or application.
推薦閱讀
- Dreamweaver CS3+Flash CS3+Fireworks CS3創意網站構建實例詳解
- 火格局的時空變異及其在電網防火中的應用
- 嵌入式系統應用
- Learning Microsoft Azure Storage
- Getting Started with Clickteam Fusion
- 蕩胸生層云:C語言開發修行實錄
- 數據運營之路:掘金數據化時代
- 21天學通ASP.NET
- 計算機網絡技術實訓
- PyTorch Deep Learning Hands-On
- Spark大數據技術與應用
- Azure PowerShell Quick Start Guide
- HTML5 Canvas Cookbook
- 基于神經網絡的監督和半監督學習方法與遙感圖像智能解譯
- PLC與變頻技術應用