The Importance of High-Quality Data for Building Effective Machine Learning-Based Solutions [Webinar]

Got Data? The Importance of High-Quality Data for Building Effective Machine Learning-Based Solutions [AI Trends Webinar]

When it comes to annotating data for academic purposes, there are specific industry standards that are commonly used.  However, when it comes to the commercial sector, building a solution that relies on machine learning requires different data annotation standards.  To build a strong solution that can understand and mimic humans, high-quality, human-annotated training data is key.

Interested in learning more? Watch our free on-demand webinar, part of AI Trends’ webinar series.

In this webinar, James Lyle, Director of Custom Linguistic Solutions, discusses:

  • The pros and cons of licensable public data vs. building your own datasets
  • Choices and tradeoffs in the level of effort you invest in acquiring and labeling data
  • Why curated crowds yield higher quality data for your machine learning

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