50個資料科學工具速查表(R、Python、Hadoop、Spark、Machine learning)

以下為國外整理的資料科學工具速查表，包含常見的工具R、Python、Hadoop、Spark，以及機器學習(Machine Learning)理論。

1. R
• R cheat sheet (Google Drive)
• R functions for Regression Analysis
• R Reference Card
• R functions for Time series Analysis
• R Reference Card for Data Mining
• R Cheat Sheet
• Data Analysis the data.table way
• Interactive Web Apps cheatsheet by R studio
• Data Visualisation with ggplot2 cheatsheet by R studio
• Package Development with devtools cheatsheet by R studio
• Data Wrangling cheatsheetR markdown cheatsheet
• R Markdown Reference guide
• R Data Management cheatsheet
• R Cheatsheet for graphical parameters
2. Python
• Python 2.7 Quick Reference Sheet
• Python Cheat Sheet by DaveChild
• Python Basics Reference sheet
• Python Debugger Cheatsheet
• NumPy / SciPy / Pandas Cheat Sheet
• Python OverAPI cheatsheet
• Python Decorators cheatsheet
• Python 2.4 Quick Reference Card
• Python 3 Cheat Sheet
• Python Language & Syntax Cheat Sheet
3. SQL
• MySQL Cheatsheet by Dave child
• SQL Cheat sheet
• SQL in one page
• MySQL Reference guide
• Visual SQL Joins
• SQL for dummies
4. Hadoop
• Hadoop for Dummies cheatsheet
• Getting Started Apache Hadoop Reference Card
• Hadoop Command Line cheatsheet
• Working with HDFS from the command line – Hadoop Cheat sheet
• Hive Function cheatsheet
• SQL to Hive cheatshe
5. Spark
• DZone
• Scala cheatsheets 1
• Scala cheatsheets 2
• Scala from DZone Reference Card
• Spark cheatsheet on github
• Scala on Spark Cheatsheet
• Essential Apache Spark cheatsheet by MapR
6. Machine learning
• Choosing the right estimator Machine Learning cheatsheet
• Patterns for Predictive learning cheatsheet
• Machine learning algorithm cheat sheet for Microsoft Azure
• Machine Learning cheatsheet Github 1
• Machine Learning cheatsheet Github 2
• Machine Learning which algorithm performs best?
• Cheat sheet 10 machine learning algorithms R commands
• Patterns for Predictive Analytics