- Learning pandas(Second Edition)
- Michael Heydt
- 80字
- 2021-07-02 20:36:57
Data science
Data science is the process of using statistics and data analysis processes to create an understanding of phenomena within data. Data science usually starts with information and applies a more complex domain-based analysis to the information. These domains span many fields such as mathematics, statistics, information science, computer science, machine learning, classification, cluster analysis, data mining, databases, and visualization. Data science is multidisciplinary. Its methods of domain analysis are often very different and specific to a specific domain.
推薦閱讀
- Effective C#:改善C#代碼的50個有效方法(原書第3版)
- 高效微控制器C語言編程
- Vue.js前端開發(fā)基礎(chǔ)與項(xiàng)目實(shí)戰(zhàn)
- 數(shù)據(jù)結(jié)構(gòu)簡明教程(第2版)微課版
- Linux網(wǎng)絡(luò)程序設(shè)計(jì):基于龍芯平臺
- Mastering Yii
- Cassandra Data Modeling and Analysis
- R的極客理想:工具篇
- Unreal Engine 4 Shaders and Effects Cookbook
- OpenResty完全開發(fā)指南:構(gòu)建百萬級別并發(fā)的Web應(yīng)用
- Geospatial Development By Example with Python
- Building Dynamics CRM 2015 Dashboards with Power BI
- 零基礎(chǔ)學(xué)SQL(升級版)
- R語言實(shí)戰(zhàn)(第2版)
- Azure for Architects