Published inTowards Data Science·PinnedMember-onlyBayesian Inference — Intuition and Examplewith Python Code — Why did someone need to invent the Bayesian Inference? In a nutshell, Bayesian inference was invented to update probability as we gather more data. The essence of Bayesian Inference is to combine two different distributions (likelihood and prior) into one “smarter” distribution (posterior). The posterior is considered “smarter” because, unlike classic maximum likelihood estimation (MLE), it takes into account…Machine Learning9 min readMachine Learning9 min read
Published inTowards Data Science·PinnedMember-onlyConjugate Prior Explainedwith examples and proofs — 1. What is Prior? Prior probability is the likelihood of an event occurring before we see the evidence (data). In Bayesian Inference, the prior is our first estimate of probability based on what we know now, before additional evidence (new data) becomes available. 2. What is Conjugate Prior? Conjugate prior cannot be understood unless one is familiar with Bayesian…Data Science4 min readData Science4 min read
Published inTowards Data Science·PinnedMember-onlyPoisson Distribution — Intuition, Examples, and DerivationWhen should you use a Poisson Distribution? — Before we set the parameter λ and plug it into the formula, let’s pause for a second and ponder a few questions. Why did Poisson have to invent the Poisson Distribution? Why does this distribution exist (= why did he invent it)? When is Poisson the appropriate choice for modeling? 1. Why did Poisson invent the Poisson Distribution? …Statistics7 min readStatistics7 min read
Published inTowards 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. Examples include the Click-Through Rate (CTR) of an advertisement, the conversion rate of customers purchasing on your website, the likelihood of readers clapping for your…Data Science9 min readData Science9 min read
Published inIntuitionMath·May 12How to Publish Your Content on IntuitionMathWelcome to IntuitionMath! We’re thrilled to invite submissions that shed light on mathematical concepts through intuitive explanations. Our mission is clear: Make math intuitive, not intimidating. Topics and Levels At IntuitionMath, we embrace submissions covering all areas of math, including but not limited to: Machine Learning Data Science Probability Statistics Optimization Visualization Mathematical financeStatistics2 min readStatistics2 min read
Published inIntuitionMath·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. Chi-square test is used a lot in corporations, especially when making decisions involving, for instance, medical, product design, engineering, and nearly…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. I might…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
