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Statistics & Probability
Inference, estimators, Bayesian methods, and uncertainty quantification.
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Randomness vs Uncertainty: When Your Model Just Doesn’t Know
2+ hour, 44+ min ago (312+ words) A model predicts that a patient has a 70% chance of developing a disease. So… is the remaining 30% randomness? Not necessarily. This …...
Number Whisperers: Statistics graduates and their many prospects
10+ hour, 6+ min ago (452+ words) But over the last 20 years, the times have also changed. Spandan Bose, AI engineer and data scientist at EXL — a global data analytics and digital operations management company — says, “The essence of statistics has sort of remained constant. However, its…...
Hypothesis Testing Explained: From Everyday Questions to Statistical Decisions
15+ hour, 38+ min ago (1346+ words) “” is published by Parth Kandpal....
The History of A/B Testing: From Drug Trials to 10,000 Tests a Day
17+ hour, 5+ min ago (974+ words) Trace A/B testing from 1835 drug trials through Claude Hopkins’ coupon testing to Google running 10,000 experiments annually. Most …...
I Checked Whether My Models’ 90% Confidence Actually Meant 90%. Most Didn’t.
2+ day, 4+ hour ago (31+ words) Another fully real one — no composite scenario. Every number below came out of an actual script run just now …...
CUPED: How to Make Your A/B Test Smarter Without Finding More Users
2+ day, 16+ hour ago (694+ words) An intuitive, no-heavy-math guide to one of the most useful ideas in product experimentation to not get DUPED. Imagine you’re a …...
Choosing the Right Statistical Test for Your A/B Experiment
3+ day, 9+ hour ago (1316+ words) Not all A/B tests use the same statistics. Learn which test to use for conversion rates, revenue, count data, and small samples — with a …...
Role of data science in modern technology highlighted
6+ day, 15+ hour ago (300+ words) APCRDA Officer Dr N Srinivas being felicitated at Andhra Loyola College in Vijayawada on Tuesday Vijayawada: APCRDA Officer Dr N Srinivas highlighted the growing relationship between data science and modern technology while addressing students at the national conference on “Advances…...
Explaining statistical modelling
1+ week, 1+ day ago (421+ words) Statistical modelling estimates advertising figures nobody observed, from data somebody did. How modelled conversions, panel projection and mix models work. Two properties of that process matter more than the mathematics. The subgroups are the model's assumption: it holds that unobserved users…...
Part 4: Understanding Probability in Data Science
1+ week, 6+ day ago (1758+ words) Statistics for Data Science Series Part 1: Why Statistics Matters in Data Science Part 2: Descriptive Statistics: A Beginner's Guide Part 3: Understanding Distributions in Data Science Part 4: Understanding Probability in Data Science Dataset: healthaccess_data_mini.csv Part 4: Understanding Probability in Data Science In out…...