Validating a high-performance ML model requires massive datasets in training, and each experiment must be documented. Streamlining your labeling and experimentation process would accelerate your training and your time to market. Join our webinar to hear from deep learning and data-labeling workforce experts.
Data-science tech developer Hivemind designed a quantitative experiment to determine which type of workforce completed a series of increasingly complex tasks to deliver the highest-quality structured datasets. Watch the webinar to learn which workforce performed better.
How do you build a data production line? Watch the webinar to hear from data science and AI workforce experts about how to build your AI production line for high-quality data processing at scale.
What is the AI production line? Watch the webinar to hear from experts in technology and people operations who are transforming the way data is processed and structured for AI and machine learning algorithms.
