Day: January 20, 2021

Vamshidhar Gangu, Research Computing, NUS Information Technology, on 21 January 2021

FP (Functional programming) is a programming philosophy based on lambda calculus and is very much suitable for data science. In functional programming, your code is organised into functions that assist you to perform the operations you need. Your scripts will only be a sequence of calls to these functions, making them easier to understand. The purrr package extends R base functional programming capabilities with some very interesting functions. Here we learn some of the functions that make FP easier in R.

Kuang Hao, Research Computing, NUS Information Technology, on 21 January 2021

Natural Language Processing (NLP) is getting more and more popular. Captivating as it is, there is quite a steep learning curve for NLP, as it stretches across multiple research areas, from computational linguistics to artificial intelligence. For beginners, apart from NLTK, the powerful NLP toolkit I introduced last time, there is another extremely user-friendly tool: TextBlob. In this article, we will explore what TextBlob can do to make your NLP learning easier.

Ku Wee Kiat, Research Computing, NUS Information Technology, on 21 January 2021

This series aims to provide an introduction to Julia for Data Science.
For this article, we will cover the benefits of Julia, some resources to look into for performing machine learning and other related tasks with Julia.

Tan Chee Chiang, Research Computing, NUS Information Technology, on 21 January 2021

The last issue I shared about greater enterprise adoption of HPC resources and technologies due to the emergence of AI as a common application. This round we will look into how the NUS IT Research Computing (REC) team has evolved to stay relevant in this new HPC-AI era.