Machine learning made ridiculously simple (part 1)
What Is Machine Learning, Really?
In this episode, we break down one of the most hyped—and often misunderstood—technologies of our time: machine learning. Forget the buzzwords and sci-fi fantasies—this is your no-nonsense guide to what machine learning actually is, how it works, and why it matters.
Whether you’ve nodded through countless meetings or podcasts without really getting it, or you just want a clearer understanding of the basics, this episode is for you.
Topics Covered:
What machine learning actually is (and what it isn’t)
The difference between learning by instruction vs. learning by example
Step-by-step breakdown: how a model is built, trained, and tested
Real-world example: predicting diabetes using patient data
Common challenges like messy data and overfitting
Why understanding machine learning is empowering—not intimidating
Credits:
Production: MedShake Studio
Host: Anca Petre
✔ Stay connected and learn more:
LinkedIn: linkedin.com/in/ancapetre
Website: www.ancapetre.com & www.medshake-studio.com
Email: anca@medshakestudio.com
More about the podcast:
Tech Anatomy is where health meets technology — and complexity becomes clarity.
Hosted by Anca Petre, pharmacist, entrepreneur, and health tech expert, this bilingual (English & French) podcast explores the innovations shaping the future of healthcare: AI, digital twins, data, virtual care, and more.
Each episode is a guided exploration: we dissect technology like in a lab, highlight what truly matters, and debunk common myths — health industry leaders the clarity they need to understand, anticipate, and act on technological change.
With a clear, professional, and approachable tone, Tech Anatomy makes health tech massively simplified — without ever compromising on depth or rigor.
Hosted on Ausha. See ausha.co/privacy-policy for more information.