The following is a conversation with Jeremy Howard.

He's the founder of Fast AI, a research institute dedicated to making deep learning more accessible.

He's also a distinguished research scientist at the University of San Francisco,

a former president of Kegel, as well as a top-ranking competitor there.

And in general, he's a successful entrepreneur, educator, researcher,

and an inspiring personality in the AI community.

When someone asks me, how do I get started with deep learning?

Fast AI is one of the top places I point them to.

It's free, it's easy to get started, it's insightful,

and accessible, and if I may say so, it has very little BS.

They can sometimes dilute the value of educational content on popular topics like deep learning.

Fast AI has a focus on practical application of deep learning

and hands-on exploration of the cutting edge that is incredibly both accessible to beginners

and useful to experts. This is the Artificial Intelligence Podcast.

If you enjoy it, subscribe on YouTube, give it 5 stars and iTunes,

support it on Patreon, or simply connect with me on Twitter.

Alex Friedman spelled F-R-I-D-M-A-N, and now here's my conversation with Jeremy Howard.

What's the first program you have ever written?

The first program I wrote that I remember would be at high school.

I did an assignment where I decided to try to find out if there was

better musical scales than the number 12 interval scale.

I wrote a program on my Commodore 64 in Basic,

...