Archives for weak supervision
Weak supervision is a part of machine learning where unorganized or imprecise data are used to provide indications to label a large amount of unsupervised data so that data can be used in machine learning
The most common approaches in machine learning are supervised and unsupervised learning.
The post Weak Supervision: The Art Of Training ML Models From Noisy Data appeared first on Analytics India Magazine.
The most common approaches in machine learning are supervised and unsupervised learning.
The post Weak Supervision: The Art Of Training ML Models From Noisy Data appeared first on Analytics India Magazine.
skweak is a software toolkit based on Python, developed for applying weak supervision to various Natural Language Processing tasks.
The post Meet skweak: A Python Toolkit For Applying Weak Supervision To NLP Tasks appeared first on Analytics India Magazine.