About Data Centric
date
Nov 12, 2022
Last edited time
Mar 27, 2023 08:42 AM
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Published
slug
About_Data_Centric
tags
DL
summary
type
Post
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Data-Centric Approach vs Model-Centric Approach in Machine Learning
Model-centric approach
The model-centric approach means developing experimental research to improve the ml model performance. This involves selecting the best model architecture and training process from a wide range of possibilities.
- In this approach you keep the data the same, and improve the code or model architecture.
- Working on code is the central objective of this approach.
Data-centric approach
In an age where data is at the core of every decision-making process, a data-centric company can better align its strategy with the interests of its stakeholders by using information generated from its operations. This way the result can be more accurate, organized, and transparent which can help an organization run more smoothly.
- This approach involves systematically altering/improving datasets in order to increase the accuracy of your ML applications.
- Working on data is the central objective of this approach.
