linked talk
> Accelerating ML Recommendation with over a Thousand RISC-V/Tensor Processors
Why are they running recommendation engines on nets? I thought this has been proven that this is region where Random Forests / XGBoost outperform nets.
> Accelerating ML Recommendation with over a Thousand RISC-V/Tensor Processors
Why are they running recommendation engines on nets? I thought this has been proven that this is region where Random Forests / XGBoost outperform nets.
My two cents: Most recommendation engines are far from perfect, and the customer is too often left scratching their heads. Given this, why bear the orders of magnitude more expense to go with with a deep learning solution?