Data Collection Data Science Deep Learning Internet of Things 
Rocket-Powered Data Science
JULY 6, 2021
2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.
Domino Data Lab
MAY 8, 2019
The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Machine learning model interpretability. – back to the structure of the dataset.
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