Como cliente Amazon Prime obtén 3 meses de Audible gratis
Machine Learning Street Talk: Real-World Analogies and No-Jargon Conversations to Actually Understand AI
No se ha podido añadir a la cesta
Error al eliminar la lista de deseos.
Se ha producido un error al añadirlo a la biblioteca
Se ha producido un error al seguir el podcast
Error al dejar de seguir el podcast
0,99 € al mes durante los primeros 3 meses
Compra ahora por 9,99 €
-
Narrado por:
-
Virtual Voice
Este título utiliza una narración voz virtual
Master the fundamentals of artificial intelligence and machine learning without ever looking at a single math equation. Perfect for your morning commute, this jargon-free technology guide transforms complex data science into vivid, everyday scenarios that spark instant curiosity. You will finally grasp how algorithms shape our world through relatable stories of neighborhood hustle and small business challenges.
Step into the shoes of an everyday entrepreneur navigating street markets and selective nightclub bouncers, unlocking an empowering new mental framework along the way. Whether you are prepping for a high-stakes product meeting or simply want to decode the daily news, this accessible listen builds genuine professional confidence.
What you'll discover inside:
• How supervised and unsupervised learning work, explained through simple retail decisions and market patterns.
• The hidden mechanics of neural networks decoded using relatable neighborhood gossip networks.
• Practical strategies to identify algorithmic bias and evaluate model impact in real-world business environments.
• Actionable ways to separate genuine technological innovation from empty marketing hype.
• The exact conversational frameworks you need to speak confidently about modern algorithms in corporate meetings.
Stop letting technical jargon hold you back from participating in the most important technological shift of our time. Press play to build your practical tech street smarts and transform from a curious bystander into a savvy, well-briefed insider today.
©2026 Hardfork Media OU (P)2026 Hardfork Media OU