[D] Andrew Ng's data-centric vs model-centric Machine Learning

• nestedcvtraining

  6 27 0.0 Python

Once you have your pipeline, model included, with all the transformers defined and parametrized, you could use an optimizing approach like the one in the examples of this library: https://github.com/JaimeArboleda/nestedcvtraining Do you think it will be a good idea? Or am I oversimplifying?

• cleanlab

  5 2,254 8.4 Python

  Discontinued The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models. [Moved to: https://github.com/cleanlab/cleanlab] (by cgnorthcutt)

  

I am an author on this, so I am biased. Around half a decade ago, we began developing a field at MIT called confident learning [ paper | blog | reddit post ] that takes a data-centric approach: instead of improving the model quality, it improves the data label quality. It's used by Google, Facebook, and is open-sourced in Python as the cleanlab package.

• InfluxDB

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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