Published in Towards Data Science·PinnedMember-onlyBayesian Inference — Intuition and Examplewith Python Code — Why did someone have to invent the Bayesian Inference? In one sentence: to update the probability as we gather more data. The core of Bayesian Inference is to combine two different distributions (likelihood and prior) into one “smarter” distribution (posterior). Posterior is “smarter” in the sense that the classic maximum likelihood estimation (MLE) doesn’t take into account a prior…Machine Learning9 min readMachine Learning9 min read
Published in Towards Data Science·PinnedMember-onlyConjugate Prior ExplainedWith examples & proofs — 1. What is Prior? Prior probability is the probability of an event before we see the data. In Bayesian Inference, the prior is our guess about the probability based on what we know now, before new data becomes available. 2. What is Conjugate Prior? Conjugate prior just can not be understood without knowing Bayesian inference. Bayesian Inference — Intuition and Implementation The art of Bayesian Inference lies in how you implement it...Data Science4 min readData Science4 min read
Published in Towards Data Science·PinnedMember-onlyPoisson Distribution — Intuition, Examples, and DerivationWhen to use a Poisson Distribution — Before setting the parameter λ and plugging it into the formula, let’s pause a second and ask a question. Why did Poisson have to invent the Poisson Distribution? Why does this distribution exist (= why did he invent this)? When should Poisson be used for modeling? 1. Why did Poisson invent Poisson Distribution? To predict the #…Statistics7 min readStatistics7 min read
Published in Towards Data Science·PinnedMember-onlyBeta Distribution — Intuition, Examples, and DerivationWhen should we use the Beta distribution? — The Beta distribution is a probability distribution on probabilities. It is a versatile probability distribution that could be used to model probabilities in different scenarios. …Data Science9 min readData Science9 min read
Published in IntuitionMath·Feb 12Member-onlyChi Square Test — Intuition, Examples, and Step-by-Step CalculationThe best way to see if two variables are related — You’ve probably heard of the term “Chi square test” at least once in your life if you have ever studied for the SAT, or worked in some science-related field. …Data Science15 min readData Science15 min read
Jan 23Member-onlyHow to Write Math Subscripts on MediumIs your New Year’s resolution to write more math blogs on Medium? Then here is what you need to do to write subscripts, which are pretty essential elements of a math blog, on Medium. I waited for Medium to add this feature, but it just never does, so as of…Mathematics2 min readMathematics2 min read
Sep 18, 2022Member-onlyWhy I joined ScaleFunny, I joined Scale two years ago, but I just wrote this article about why I joined this startup. I’m reposting this from my company’s blog because I think it has some of my strongest feelings about engineering and building in general. Aerin is an engineering manager at Scale AI…Engineering7 min readEngineering7 min read
Oct 11, 2021Member-onlyScale AI TransformX HighlightsMy company held an AI conference called TransformX last week, and the contents were really good, so I wanted to share them with my readers. IMO, it was the best AI conference this year (other than academic ones) in terms of various topics, interesting speakers, accessibility, relevancy, etc. …Artificial Intelligence5 min readArtificial Intelligence5 min read
Aug 29, 2021Member-onlyOlympians in engineer’s eyeWatching Tokyo Olympics during this summer, especially Anna Kiesenhofer, the Austrian Mathematician who won the gold medal in cycling, made me think that the concept of training is not unique to pro-athletes but also applies well to other technicians, e.g. engineers, musicians, dancers, etc. I’m a software engineer and I…Software Development5 min readSoftware Development5 min read
Jun 6, 2021Member-only[Opinion] My take on FAIR Self-Supervised Learning blogpostMy team spoke very highly about this blog (and they’re also wondering if self-supervised learning could eliminate the need for labeling entirely) so I gave it a read. It was a very well-written, thorough overview of self-supervised learning. What stands out the most was it was written by Dr. Lecun…Deep Learning3 min readDeep Learning3 min read
