Top Data Science YouTube Channels from Australia

Discover the most popular data science YouTube creators from Australia. Find the best education channels and content creators in data science.

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Channels

Daniel Bourke YouTube channel profile picture
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Daniel Bourke

@mrdbourke

I'm a machine learning engineer who plays at the intersection of technology and health.My videos will help you learn better and live healthier.Feel free to i...

Australia
Subscribers
239k
Total Views
11.9M
Videos
329
Why "Context Engineering" Matters | AI & ML Monthly thumbnail
1:32:02

Why "Context Engineering" Matters | AI & ML Monthly

2.1K views3 months ago

Daniel Bourke's channel is run by a machine learning engineer who blends AI technology with health‑focused applications. He offers extensive, long‑form tutorials on LLM fine‑tuning, PyTorch, and MLOps, alongside monthly AI newsletters that recap the latest research and open‑source tools. Hardware unboxings and performance tests, especially of NVIDIA and Apple silicon, give viewers hands‑on insights. Real‑world startup stories, like his Nutrify app, illustrate practical AI deployment. The content balances beginner‑friendly introductions with advanced deep‑dives, providing a comprehensive learning path for aspiring and seasoned ML practitioners.

What Makes This Channel Unique

Daniel combines deep technical tutorials with a health‑tech perspective, delivering some of the longest, most thorough ML content on YouTube while sharing real startup experiences and hands‑on hardware demos that few creators offer.

Weekly (average of 1–2 videos per week, with a dedicated monthly AI newsletter series)
English
Target Audience

Aspiring and professional machine learning engineers, data scientists, and AI enthusiasts aged 18‑45 who want practical, in‑depth guidance on LLMs, MLOps, and AI applications in health, as well as hardware performance insights.

Content Formats
TutorialsMonthly newsletter videosHardware unboxings & reviewsStartup case study vlogsLive demos
Primary Topics
Large Language Model fine‑tuning and inferenceOpen‑source AI model evaluation and rankingsMLOps practices from startup experiencePyTorch optimization on Apple Silicon and NVIDIA GPUsAI‑driven health and nutrition applications

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