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FoA 345: Alphabet's Moonshot to Scale Sustainable Agriculture via Machine Learning with Dr. Elliott Grant of Mineral

Future of Agriculture

00:00

Using ML to Complement Humans?

Using ML today is very difficult, right? It's still a esoteric tool. Very few people can write Python code or have ML experience. And I just think humans are intuitively good at this, right? Humans are pattern recognition maestros, we're just extremely good at drawing conclusions from relatively small data sets. The challenge for companies like Mineral and any company in ML is to present the information in a way that is as useful as possible to the human expert.

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