EntiTree is an effort that started in mid-2020 and is a merger of other wikidata visualisation tools about trees, with some extra features that make it more usable and navigable. The mission of EntiTree is to support the following people: researchers of any level that want to explore wikidata connections…

EntiTree is an interactive visualization tool that lets you explore the family tree of a subject from wikidata connections. Some examples from Martin: Tubagus Chasan Sochib (politician) Susilo Bambang Yudhoyono (politician) Budi Hartono and Bambang Hartono (businessmen) Oei Tiong Ham (businessman) Sultan Hamengkubuwono (royal family) Abdurrahman Wahid (politician) Joko Widodo (polician) Suharto (politician)

Nowadays, data science is not restricted only to the tech giants, but is already used by organizations across many industries, from FMCG to the financial services. Although the exact data science process varies depending on the specific use case, there is a common framework that is used to deliver data…

In a famous study, it was shown that beliefs (i.e. expectations) can actually bring about the expected behaviour, creating a reality. A famous example: people who expect to die young may smoke and take drugs, ending up dying young in reality. …

On its own, agile is more of a mindset, and there are several established frameworks that one can adopt to achieve agility. The two most popular methods to achieve agile principles are Kanban and Scrum. Kanban (Japanese: 看板) is used to to manage a continous queue of work items, which…

Agile is a continuous learning approach that concerns two aspects: project management and product development. In particular, it is an approach to managing projects that avoids expensive upfront planning while reducing complexity and minimizing risk. Agile methods are traditionally applied in software development and IT support (e.g. service ticketing). Some…

In summary: Clarify the problem Generate inputs and/or outputs Create test cases Plan your program Code Analyse the performance: speed/runtime Debug Step 1: Clarify the problem to be solved. This is important to make sure that you do not spend wasted effort on solving something that the interviewer is not…

This post is targeted mainly at computer scientists, statisticians, engineers, physicists, data scientists, mathematicians, and any other professionals in a (esp. scientific) discipline who are interested in consuming the state-of-the-art literature in biology and medicine. Since lots of texts in biomedicine often use heavy jargons, non-biologists usually find it quite…

The most important thing in a machine learning interview or presentation is to be passionate when talking about it (duh!). Here are some of my favourite topics to discuss about: Bayes rule and its applications Data normalization/scaling techniques Feature encoding/representation Different types of classifiers/regressors for supervised learning Text analysis: similarity measure between documents/texts, TF-IDF, N-grams, NLP techniques.