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Talk Python To Me

#220: Machine Learning in the cloud with Azure ML

Talk Python To Me

Michael Kennedy

Technology

4.8635 Ratings

🗓️ 12 July 2019

⏱️ 55 minutes

🧾️ Download transcript

Summary

On this episode, you'll meet Francesca Lazzeri and hear story how she went from Research Fellow in Economics at Harvard Business School to working on the AI and data science stack on the Azure team.

Transcript

Click on a timestamp to play from that location

0:00.0

On this episode, you'll meet Francesca Lazeri and hear her story how she went from

0:03.9

Research Fellow in Economics at the Harvard Business School to working on the AI and

0:08.8

data science stack on the Azure team at Microsoft.

0:12.0

This is Talk Python to Me.

0:13.2

Episode 220 recorded June 20th, 2019.

0:16.5

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

0:36.3

This is your host, Michael Kennedy. Follow me on

0:38.6

Twitter where I'm at M. Kennedy. Keep up with a show and listen to past episodes at talk

0:42.7

python.fm. And follow the show on Twitter via at talk python. This episode's brought to you by

0:47.9

Linode and Talk Python Training. Be sure to check out what the offers are for both of these

0:52.8

segments. It really helps support the show.

0:55.9

Hey, everyone.

0:56.7

Before we get to the interview, I want to quickly tell you about a new course we just launched.

1:01.0

It's our first major Flask course, and it's called Building Data-Diven Web Apps in Flask and SQL Alchemy.

1:06.9

This one's a deep dive into Flask.

1:08.7

We cover things like routing, models, templates,

1:15.8

databases, and migrations, and even deployment and security. And we do all of this in the context of building a clone of the piPI.org website. Check it out over at training.com

1:21.4

dot Python.fm. If you're not sure if you want to choose Flask just yet for your web app,

1:26.6

then give our 100 days of web course a look.

1:29.5

We cover many frameworks and programming models in 25 four-day projects.

1:34.8

So you get a super wide view of what's out there.

1:37.5

Then you could pick Flask or Django or Pyramid or something else.

...

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