Got Data? The Importance of High-Quality Data for Building Effective Machine Learning-Based Solutions
Wed Apr 4 – 1:00pm Eastern / 10:00am Pacific
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? James Lyle, Director of the Custom Linguistic Solutions team, will be leading a webinar titled “Got Data? The Importance of High-Quality Data for Building Effective Machine Learning-Based Solutions.”
In this webinar, you’ll learn:
- 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
Can’t attend the webinar? The presentation will be available on demand if you’re not able to make it. Register now and get a link to the recording after April 4th.