On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Daniel Bourke. He's a Machine Learning Engineer and creator of many popular tutorials on YouTube. He's also a frequent freeCodeCamp contributor.

We talk about:

- How as a kid he hacked into his school's network and gave himself good grades, just like the kid from Wargames. (Don't try this at home.)

- What he learned from helping fix 5,000 people's computers

- How Machine Learning actually works. What the AI models are actually doing for you in the background.

- His advice for anyone getting into Machine Learning in 2024, in terms of what to prioritize learning

Can you guess what song I'm playing on my bass during the intro? It's from a 2020 song by an Australian musician.

Also, I want to thank the 9,779 kind people who support our charity each month, and who make this podcast possible. You can join them and support our mission at: https://www.freecodecamp.org/donate

Links we talk about during our conversation:

Daniel's 26-hour PyTorch course on freeCodeCamp: https://www.freecodecamp.org/news/learn-pytorch-for-deep-learning-in-day/

Nutrify, Daniel's "pokedex for food". Uses computer vision to map photos of food to nutrition data: https://www.youtube.com/watch?v=-jpLqtAWKfo

Daniel's Charles Bukowski-inspired novel "Charlie Walks": https://www.charliewalks.com/

The research website Daniel mentions: https://arxiv.org/

Daniel on Twitter: https://twitter.com/mrdbourke

#133 How to get Machine Learning Skills without doing a PhD in Math [Podcast #133 with Daniel Bourke]

freeCodeCamp Podcast