Transition from column to matrix, matrix to tensor as a baseline of data feeding changed the scope of data science, but faster results in ‘better’, only when we apply the tool to the right place, with right approach.
Back in early 2000s, when I first learned Matlab to solve basic regression problems, I was told Matlab …
When an expectation for future is shared, market reflects it immediatelyUS Fed hints to lower interest rates in March, which is already reflected in pricesBitcoin prices also rely on people’s belief on speculative demands
The US Fed determines the base interest rate approximately once every 1.5 months, eight times a year. There is no reason for …
Web novel to Webtoon conversion is not only based on ‘profitability’If the novel author is endowed with money or bargaining power, ‘Webtoonization’ may be nothing more than a marketting tool for the web novel.Data science modeling based on market variables unable to grab such cases
A student in SIAI’s MBA AI/BigData progam, struggling with her thesis, …
Not the quality of teaching, but the way it operatesEasier admission and graduation bar applied to online degreesStudies show that higher quality attracts more passion from students
Although much of the prejudice against online education courses has disappeared during the COVID-19 period, there is still a strong prejudice that online education is of lower quality than …
Asian companies convert degrees into years of work experienceWithout adding extra values to AI degree, it doesn’t help much in salary’Dummification’ in variable change is required to avoid wrong conclusion
In every new group, I hide the fact that I have studied upto PhD, but there comes a moment when I have no choice but to …
The relationship between a commercial district and the concentration of consumers in a specific generation mostly is not by causal effectSimultaneity oftern requires instrumental variablesReal cases also end up with mis-specification due to endogeneity
When working on data science-related projects, causality errors are common issues. There are quite a few cases where the variable thought to …
With high variance, 0/1 hardly yields a decent model, let alone with new set of dataWhat is known as ‘interpretable’ AI is no more than basic statistics’AI’=’Advanced’=’Perfect’ is nothing more than mis-perception, if not myth
5 years ago. Just not long after an introduction of simple ‘artificial intelligence’ learning material that uses data related to residential …
One-variable analysis can lead to big errors, so you must always understand complex relationships between various variables. Data science is a model research project that finds complex relationships between various variables. Obsessing with one variable is a past way of thinking, and you need to improve your way of thinking in line with the era …