Mathematics

Data Science Mathematics

Practical Statistics for Data Scientists – Exploratory Data Analysis

This is an overview of Chapter 1 of Practical Statistics for Data Scientists. Shashank Kalanithi goes over the first couple of chapters of this book because the later chapters cover similar materials from my Hands on Machine Learning book overview videos.

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Mathematics

Jo Boaler on How to Learn Math | Lex Fridman Podcast #226

Given the increasing importance of mathematics in the world, it may be as crucial to success as literacy. Jo Boaler is a professor of mathematics education at Stanford and the co-founder of youcubed. In this video, she sits down with Lex Fridman to talk about learning math. OUTLINE: 0:00 – Introduction 0:23 – What is […]

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Mathematics

The Lightning Algorithm

Here’s a bit of math to get your Monday started. This time Matt Henderson is making lightning in mazes.

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Mathematics

A Pattern In Primes

Peter Pike explains while prime numbers seem to show up randomly on the number line, they are built on very specific patterns.

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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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