2016, Clustering and Exploratory Data Analysis

The effectiveness of clustering in IIoT

Mlearning.ai

APRIL 10, 2023

How this machine learning model has become a sustainable and reliable solution for edge devices in an industrial network An Introduction Clustering (cluster analysis - CA) and classification are two important tasks that occur in our daily lives. Thus, this type of task is very important for exploratory data analysis.

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How to tackle lack of data: an overview on transfer learning

Data Science Blog

FEBRUARY 23, 2023

Presumably due to this fact, Andrew Ng, in his presentation in NeurIPS 2016, gave a rough and abstract predictions of how transfer learning in machine learning would make commercial success like white lines in the figure below. But only with limited labeled data, decision boundaries would be ambiguous. “Shut up and annotate!”

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The effectiveness of clustering in IIoT

How to tackle lack of data: an overview on transfer learning

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