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Machine Learning

Machine Learning

What is beyond our model?

We explore an architecture for a complete software solution: deploy a Python model, from the user interface to the connection with the model and obtaining

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Machine Learning

Data quality impact on the dataset

The quality of that dataset is directly related to the organization that manufactures it and how that organization works on data quality.
The sustainability of our model could also be related to the quality of data in the organization.
Beyond data engineering, the accuracy of the model itself, and the performance in its production, if the organization it serves does not have data quality as a priority, probably the model will not be sustained over time.

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Machine Learning

Image Labeling

We explore platform.ai for image labeling, clustering, and eventually create a model into the tool for the full tag dataset. Link to the full text

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Machine Learning

Metrics and Python II

In the previous article, we take a metrics guide for regression problems. Now we are going to look at the metrics most used for classification problems

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Reloj de Bolsillo
Machine Learning

Metrics and Python

In a series of three articles, we will describe a set of basic statistical concepts and the metrics used for regression and classification Link to

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