Introduction to Computing Environments for Data Science

The First Course for Students to Study Data Science

(Updates on August 22, 2021: Thanks to the great help of Charles WEI (charles@hkbu.edu.hk), Gary GU (taize_gu@hkbu.edu.hk), and Ching-yin WAN (cywan123@hkbu.edu.hk), I mainly add the supplements for Windows users. They are also my TAs for the course, so please contact them when you find any problem about the setups for... [Read More]

Allow for the Multi-threads of XGBoost within Conda environments under MacOS

Sharing the tricks to allow for Multi-threads within Conda environments under MacOS

In general, the popular packages compiled in Linux system should be highly optimized to use multi-threads, but the subtle issues usually occur for compilation under MacOS. Here is my exploration about how to modify the make file to facilitae the compilation such that XGBoost in MacOS can utilize multi-threads. Please... [Read More]

Environment Setups for Data Scientists under Garuda Linux

Introduction of Linux system setups in the viewpoint of data science using the fancy Garuda Linux as example

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I came across Garuda Linux and was fascinated by the its beauty. Even though I have used MacOS for two years in work and entertainment, I don’t mind trying such fancy Linux. One can check the post in Environment Setups for Data Scientists under Garuda Linux and the corresponding codes... [Read More]