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
Chapters
0:00:00 Introduction and Background
0:09:07 Love for the Beach and Drift Triking
0:31:14 Learning How to Learn and Applying it to Anything
0:44:21 Australia - Small but Mighty
0:59:53 Creating a Self-Designed Curriculum
1:08:35 Understanding the Hierarchy - AI, Machine Learning, and Deep Learning
1:21:47 Hardware Requirements for Machine Learning
1:38:03 The Evolution of AI and Its Impact on Software Engineering