We all have a clear image of a needle in a haystack:
a tiny needle sitting somewhere in a massive barrel of hay.
It makes some of us grimace, and understandably so. Whether you have lost your wedding ring on the beach, or you are engineering machine learning models, we all have experienced a similar problem.
In machine learning for autonomous systems, the algorithm itself is typically no longer the greatest challenge. The network of a deep learning model is often standardized and is almost commoditized at this point.
However, capturing a diverse, distributed dataset to train these models on…
Founder and CEO at Caliber Data Labs