What are the advantages and disadvantages of using labelled and unlabelled data in AI?
Data is the fuel of artificial intelligence (AI), but not all data is created equal. Depending on the type and quality of data, AI models can perform better or worse, learn faster or slower, and generalize more or less. In this article, you will learn about the advantages and disadvantages of using labelled and unlabelled data in AI, and how to choose the best data for your AI project.
-
Shubham SabooLinkedIn Top Voice | AI Product Management at Tenstorrent | 3x Author of AI Books | Microsoft MVP | Community of 100k+…
-
Aldo SegniniAI-Powered Digital Transformation Strategist | Empowering Executives with Data-Driven Insights | +25 Years of Proven…
-
James AbelaDirector of Digital Learning and Entrepreneurship