Feb 17 · 6 min read · In Machine Learning, nothing is certain.When my model looks at a photo of a cat, it doesn't say "This is a Cat." It says: "I am 92% confident this is a cat, given the pointy ears and whiskers." To become a Machine Learning Engineer, I had to rewire m...
Join discussion
Dec 30, 2025 · 12 min read · This is the second entry in a three-part series on Bayesian Networks. Building on the mathematical foundations from Part 1, we introduce the graphical representation that makes probabilistic reasoning tractable. Introduction: A Solution to Impossibl...
Join discussion
Dec 30, 2025 · 10 min read · This is the first entry in a three-part series on Bayesian Networks. We'll build from first principles to show how probabilistic reasoning can be made computationally tractable. Introduction: Why Probability? In 1763, an essay was posthumously publi...
Join discussion
Dec 11, 2025 · 6 min read · In Machine Learning, nothing is certain.When my model looks at a photo of a cat, it doesn't say "This is a Cat." It says: "I am 92% confident this is a cat, given the pointy ears and whiskers." To become a Machine Learning Engineer, I had to rewire m...
Join discussionNov 12, 2025 · 6 min read · Recently, season 3 of Alice in Borderland was released on Netflix. While browsing the endless content about the show online, I stumbled upon an image that instantly took me back to my university days studying Information Security, reminding me of con...
Join discussion
Oct 28, 2025 · 10 min read · So here we are again, watching another monster storm roar across the Caribbean, another hurricane breaking records and testing the limits of what we thought possible. Hurricane Melissa — the thirteenth named storm of the 2025 Atlantic hurricane seaso...
Join discussion
Oct 14, 2025 · 2 min read · 📖 Naive Bayes is a probabilistic machine learning algorithm based on Bayes’ Theorem. It predicts outcomes by calculating the probability of different classes, assuming all features are independent. Despite this “naive” assumption, it performs surpri...
Join discussion
Oct 14, 2025 · 1 min read · 백테스팅 CLI를 작성하며 여러 지식을 익히던 중, 앞으로 확률과 통계 지식이 많이 필요하게 될 것이라 느꼈다. 알고트레이딩도 결국 수많은 데이터를 기반으로 의사결정을 하게 되기 때문이다. 하지만 난 확률과 통계 지식을 많이 잊어버린 상태이기 때문에, Khan Academy 를 참고해 공부하기로 했다. Khan Academy를 고른 이유는 3가지다. r/algotrading 에서 추천받았다. 연습 문제가 있어 동영상을 보면서 감을 익힐 수 ...
Join discussion
