What is semi-supervised machine learning?

By TechTalks - 2021-01-04

Description

Semi-supervised learning helps you solve classification problems when you don't have labeled data to train your machine learning model.

Summary

Instead, you can use semi-supervised learning, a machine learning technique that can automate the data-labeling process with a bit of help.
In fact, the above example, which was adapted from the excellent book Hands-on Machine Learning with Scikit-Learn, Keras, and Tensorflow, shows that training a regression model on only 50 samples selected by the clustering algorithm results in a 92-percent accuracy (you can find the implementation in Python in this Jupyter Notebook).
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Topics

Machine_Learning (0.51)
Backend (0.32)
NLP (0.17)

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