Statistics

Python Statistics

How to implement Naive Bayes from scratch with Python

In the 6th lesson of the Machine Learning from Scratch course, learn how to implement the Naive Bayes algorithm. You can find the code here: https://github.com/AssemblyAI-Examples/Machine-Learning-From-Scratch

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Data Driven Podcasts Statistics

Kristen Kehrer on Statistics, Data Poetry, and Dunkies

In this episode of Data Driven, I interview Kristen Kehrer, developer advocate at CometML and host of the Cool Data Projects Show. In case, you’re wondering where is Andy. He was unable to make the recording due to a last minute schedule change. The show must go on, after all. Learn more about CometML https://www.comet.com/?utm_source=kristen&utm_medium=referral&utm_campaign=online_kristen_2022 Related […]

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Mathematics Statistics

How To Update Your Beliefs Systematically – Bayes’ Theorem

Here’s a great video that explains Bayes’ theorem with examples and implications for life. I didn’t say it explicitly in the video, but in my view the Bayesian trap is interpreting events that happen repeatedly as events that happen inevitably. They may be inevitable OR they may simply be the outcome of a series of […]

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Data Science Mathematics Statistics

Statistics in Julia

Statistics is a domain where some early stage development of packages, and some early applications, have come about in Julia. From Ajay Shah at JuliaCon 2022 We think of this mini-symposium as a combination of (a) Report on many interesting recent developments in this field and (b) Offer a birds eye view to the people […]

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Data Science Mathematics Statistics

Statistics and Probability for Data Science

A lot of people ask me about breaking into the fields of AI and data science. Many are surprised to hear that the core of it all revolves around statistics more so than “just code.” This session on Statistics And Probability will cover all the fundamentals of stats and probability. Topics Covered : 00:00:00 Introduction […]

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Data Science Statistics

Statistics & Probability for Data Science

I’m often asked about the basics of data science and how to break into the field. I tell folks that it’s 80% statistics and 20% everything else. This session on Statistics And Probability will cover all the fundamentals of stats and probability concepts used in Data Science. Topics covered in this video: 00:00:00 Introduction 00:00:33 […]

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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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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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