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Talk Python To Me

#144: Machine Learning at the Large Hadron Collider

Talk Python To Me

Michael Kennedy

Technology

4.8635 Ratings

🗓️ 26 December 2017

⏱️ 58 minutes

🧾️ Download transcript

Summary

We all know Python is becoming increasingly important in both science and machine learning. This week we journey to the very forefront of Physics.

Transcript

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0:00.0

We all know Python is becoming increasingly important in both science and machine learning.

0:04.5

This week, we journey to the very forefront of physics.

0:08.1

You'll meet Michaela Paganini, Michael Kagan, and Matthew Fikert.

0:11.9

They all work at the Large Hadron Collider and are using Python and Machine Learning to help make the next major discovery in physics.

0:18.7

Join us this week on Talk Python to Me, episode 144 recorded December 14th, 2017.

0:45.0

Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.

0:49.0

This is your host, Michael Kennedy. Follow me on Twitter where I'm at M. Kennedy.

0:55.5

Keep up with the show and listen to past episodes at TalkPython.fm and follow the show on Twitter via at Talk Python.

1:01.3

This episode is brought to you by Linode and Talk Python Training. Be sure to check out what the offers are for both of these segments. It really helps support the show.

1:05.4

Hey everyone. Before we get to interview, I want to share a quick update about our Python courses

1:09.3

with you. Do you work on a software

1:11.2

team that needs training and could really use a chance to level up their Python? Maybe your entire

1:15.6

company is looking to become more proficient. We have special offers that make our courses

1:20.0

here at Talk Python the best option for everyone you work with. Our courses don't require an ongoing

1:25.3

subscription like so many corporate trading options do.

1:28.2

And they're roughly priced about the same as a book.

1:31.8

We're here to help you succeed.

1:33.1

Send us a note at Sales at TalkPython.fm to start a conversation.

1:37.2

Now, let's get to the interview.

1:39.6

Michael, Michaela, Matthew, welcome to Talk Python.

1:42.6

Hi, everyone. Thanks for having me.

1:44.7

Yeah, it's an honor to be on the show.

...

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