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Talk Python To Me

#497: Outlier Detection with Python

Talk Python To Me

Michael Kennedy

Technology

4.8635 Ratings

🗓️ 21 March 2025

⏱️ 55 minutes

🧾️ Download transcript

Summary

Have you ever wondered why certain data points stand out so dramatically? They might hold the key to everything from fraud detection to groundbreaking discoveries. This week on Talk Python to Me, we dive into the world of outlier detection with Python with Brett Kennedy. You'll learn how outliers can signal errors, highlight novel insights, or even reveal hidden patterns lurking in the data you thought you understood. We'll explore fresh research developments, practical use cases, and how outlier detection compares to other core data science tasks like prediction and clustering. If you're ready to spot those game-changing anomalies in your own projects, stay tuned.

Transcript

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0:00.0

Have you ever wondered why certain data points stand out so dramatically?

0:03.6

They might hold the key to everything from fraud detection to groundbreaking discoveries.

0:08.2

This week on Talk Pythonomy, we dive into the world of outlier detection with Brett Kennedy.

0:13.4

You'll learn how outliers can signal errors, highlight novel insights, or even reveal hidden patterns lurking in the data you thought you understood.

0:21.4

We'll explore fresh research developments, practical use cases, and how outlier detection

0:26.5

compares to other core data science tasks like prediction and clustering.

0:31.1

If you're ready to spot those game-changing anomalies in your own projects, stay tuned.

0:36.3

This is Talk Python to Me. Episode 497 recorded January

0:40.3

21st, 2025. Are you ready for your host? There is. You're listening to Michael Kennedy on

0:47.9

Talk Python to Me. Life from Portland, Oregon, and this segment was made with Python.

0:55.6

Welcome to Talk Python and Me, a weekly podcast on Python.

0:59.2

This is your host, Michael Kennedy.

1:01.3

Follow me on Massadon, where I'm at M. Kennedy, and follow the podcast using at TalkPython,

1:06.6

both accounts over at Fostodon.org, and keep up with the show and listen to over nine years of episodes at

1:13.1

TalkPython.fm. If you want to be part of our live episodes, you can find the live

1:17.7

streams over on YouTube, subscribe to our YouTube channel over at TalkPython.fm slash

1:22.5

YouTube and get notified about upcoming shows. This episode is sponsored by Posit Connect from the makers of Shiny.

1:30.0

Publish, share, and deploy all of your data projects that you're creating using Python.

1:34.5

Streamlet, Dash, Shiny, Boca, Fast API, Flask, Quarto, reports, dashboards, and APIs.

1:41.5

Posit Connect supports all of them.

1:43.1

Try Posit Connect for free by going to TalkPython.fm

1:46.4

slash posit POSIT. Brett, welcome to Talk Python to me. Well, thank you very much for having me.

...

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