10h ago · 14 min read · A multi-line insurer writes auto, home, commercial property, and a dozen other policy types under one roof. Some lines see thousands of claims a year; others might see 50. Every actuary faces the same
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Apr 13 · 14 min read · You've trained a machine learning model and want to tune its hyperparameters. Each evaluation takes hours. You've tested 6 configurations so far. Where should you try next? If you read our hyperparame
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Apr 1 · 12 min read · Imagine you're a politician touring a chain of islands. Each island has a different population, and you want to spend time on each island in proportion to its population — more time on crowded islands
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Mar 29 · 16 min read · In the MLE tutorial, we estimated a coin's bias by finding the single parameter value that maximises the likelihood. Flip a coin 3 times, get 3 heads, and MLE says \(\hat{\theta} = 1.0\) — the coin al
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Feb 15 · 1 min read · What if a personality test could learn from each answer and skip the irrelevant questions? That is what we built with SoulTrace. Why Traditional Tests Fail Most personality assessments ask the same 100+ questions to everyone. Whether you are clearly ...
Join discussionNov 8, 2024 · 10 min read · TL;DR Some metrics are an average of the binary variable (0/1, False/True) — conversion rate, churn rate, etc. These metrics might not represent the actual value when there is a small sample size beneath them (one web session with one conversion lea...
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Oct 16, 2024 · 9 min read · Major League Baseball is the second richest sports league in the world, generating more than $11 billion in annual revenue. It also has boasts the highest fan attendance per season among all leagues. Given this financial scale, baseball analytics has...
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Jun 18, 2024 · 2 min read · 조건부 확률이란? 베이즈 통계학을 이해하기 위해서는 조건부 확률의 개념을 이해해야 한다. 조건부 확률 $P(A|B)$는 사건 B가 일어난 상황에서 사건 A가 발생할 확률을 의미한다. 조건부 확률을 계산하는 방법은 두 개의 사건 A와 B가 있을 때 두 사건의 교집합이 일어날 확률을 특정 사건으로 나눠주게 되면 계산할 수 있다. 이 수식을 다음과 같이 정리하면 베이즈 정리를 유도할 수가 있고, 조건부 확률을 이용해서 정보를 갱신하는 방법을 알 ...
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Apr 25, 2024 · 3 min read · Introduction In machine learning, Bayesian Linear Regression offers a probabilistic framework to understand the relationships between variables. Unlike its classical counterpart, Bayesian regression provides a distribution over possible values of par...
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