Statistics

Statistics

Is Bayesian thinking a sham?

Here’s a thought provoking video by Julia Galef  There’s a common criticism that people who claim to practice “Bayesian thinking” aren’t actually doing anything special — they’re just using a fancy term to make their opinions seem more objective than they really are. In this video I explain why that criticism is misguided.

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Machine Learning Statistics

Principal Component Analysis (PCA) Explained

Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data. Steve Brunton explains it in this great video.

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Data Science Mathematics Statistics

A Clear Explanation of Naive Bayes

StatQuest with Josh Starmer explains Naive Bayes in a clear way. When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier – which sounds really fancy, but is actually quite simple. This video walks you through it one step at a time and by the end, […]

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Statistics

Coronavirus: Keep calm and know the data

Coronavirus was declared a pandemic on Wednesday due to its widespread transmission across the world. But in terms of severity, it remains relatively low, with certain demographics more vulnerable than others. Evening Standard shows us five categories of data to shed some perspective on the scale of the crisis.

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Data Science Statistics

Free 7 Hour Course on Statistics for Data Science

Great Learning has provided this free 7 hour course on statistics for Data Science. This course will be taught by Dr.Abhinanda Sarkar who has his Ph.D. in Statistics from Stanford University. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT); been on the research staff at IBM; led Quality, Engineering Development, and […]

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Mathematics Statistics

Bayes Theorem and Making Probability Intuitive

3Blue1Brown explores perhaps the most important formula in probability: Bayes Theorem. The study with Steve: https://science.sciencemag.org/content/185/4157/1124 http://www.its.caltech.edu/~camerer/Ec101/JudgementUncertainty.pdf

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Data Science Statistics

Principal Component Analysis Explained

Computerphile explains PCA – Principle Component Analysis in an accessible way.

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Mathematics Statistics

Sequential Estimation of Quantiles

Here’s an interesting talk by Aaditya Ramdas on “Sequential Estimation of Quantiles with Applications to A/B-testing and Best-arm Identification” From the description: Consider the problem of sequentially estimating quantiles of any distribution over a complete, fully-ordered set, based on a stream of i.i.d. observations. We propose new, theoretically sound and practically tight confidence sequences for […]

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Mathematics Statistics

Tea: A High-level Language and Runtime System for Automating Statistical Analysis

Here’s an interesting talk by Eunice Jun on a language she’s working on. [Slides] From the video description: Current statistical tools place the burden of valid, reproducible statistical analyses on the user. Users must have deep knowledge of statistics to not only identify their research questions, hypotheses, and domain assumptions but also select valid statistical […]

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