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Machine Learning for Semiconductor Quantum Devices Solutions

01 /Supervised Learning for quantum Dots 02 /Charge Stability Diagrams 03 /Classify CS Diagrams with Neural Networks 04 /Supervised Learning with Feedback 05 /Charge Tuning as a NN with Feedback 06 /Real-Life Experimental Applications 07 /Unsupervised Learning for Quantum Dots 08 /Analyse CS Diagrams with Clustering 09 /Analyse CS Diagrams with Unsupervised NNs 10 /Autoencoders in QD Experiments 11 /ML Fine Tuning of Quantum Dots 12 /Overhauser Field estimation

Unsupervised Learning for Quantum Dots

True or False: Unsupervised learning is a sub-category of supervised learning.

False

Unsupervised learning is a different category than supervised learning, since the former works without labeled data, and the latter uses labeled data