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The Data Labeler Blog

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Machine Learning and Deep Learning

A Quick Guide to Find the Right Minds for Annotation
admin
May 20, 2022

A Quick Guide to Find the Right Minds for Annotation

The amount of data involved in AI and machine learning integration is far too large to handle in-house. Finding outsourced data labeling professionals who can use their knowledge to create quality training data within a specific time limit is your best bet. Outsourcing data annotation and labeling services to a professional firm that can deliver […]

What is the scope of ML and Ai in the next 10 years
admin
May 02, 2022

What is the scope of ML and Ai in the next 10 years

Many companies and the marketing teams that support them are rapidly adopting intelligent technology solutions to encourage operational efficiency while improving the customer experience. Through these platforms, marketers are able to gain a more nuanced, comprehensive understanding of their target audiences. Data labeler provides quality training data for ML & AI. The insights gathered through […]

Why AI-assisted content moderation will never be able to take the position of human moderators
admin
April 19, 2022

Why AI-assisted content moderation will never be able to take the position of human moderators

Automation in content moderation is a broad concept. In certain aspects, AI content moderation systems use very little intelligence. AI in content moderation can refer to the use of a variety of automated approaches at various phases of content moderation. These techniques might range from simple keyword filters to machine learning and a wide range of tools and methodologies. […]

Quality Assurance in Machine Learning: A Guide to Data Labeling
admin
April 14, 2022

Quality Assurance in Machine Learning: A Guide to Data Labeling

Machine learning is one of the most interesting new development in the field of technology. Most importantly machine learning and artificial intelligence systems train themselves on their own. The performance of a machine learning model is dependent on the quality of the training data. The consistency and correctness of labeled data in machine learning are used to assess […]