reverse-OPS
A technology paradigm in which reverse-extract-transfer-loading python into an ETL pull creates enough data to leap over machine learning and employ deep learning.
The last algorithm.
The last algorithm.
Deep-learning requires too much data to be useful practically; hence the pervasiveness of machine learning.
Spreading a Python command over a reverse-ETL pull creates enough data to facilitate the jump to deep-learning.
This is the principle behind reverse-OPS.
Spreading a Python command over a reverse-ETL pull creates enough data to facilitate the jump to deep-learning.
This is the principle behind reverse-OPS.
reverse-OPS by metastatic February 26, 2022
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