Helm.ai → https://goo.gle/3FKnVza
Ever wonder how self-driving cars work? 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, we 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!
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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