Did you ever think about how self-driving cars work?
How do ML and AI make decisions themselves without human touch?
How ML and AI make decisions themself without human touch. One of the biggest challenges is training ML models with appropriate data sets, but what if the ML models could teach themselves? In this episode of Architecting with Google Cloud, Debi Cabrera, Google Cloud developer Advocate chat with Harrison at Helm.ai about how they help companies scale their capabilities with ML models.
Check out this video so the next time you see a self-driving car you’ll know what’s happening under the hood!
Click on the below to watch it in detail.
0:00 - Intro
0:48 - Helm.ai overview
1:37 - Supervised vs unsupervised learning (deep teaching)
3:24 - Real-world example of unsupervised learning
4:50 - Can the software be used on more than cars?
5:47 - Helm.ai architecture
12:14 - Future technical enhancements
14:18 - Wrap Up
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