Better Machine Learning Demands Better Data Labeling: Key Takeaways
Machine learning (ML) techniques have had a huge societal impact in many cases and applications such as speech processing, natural language comprehension, neurosciences, health, and the Internet of Things (IoT). The advent of the big data age has given a great deal of impetus to machine... Read more
What’s the Main Priority for Data Labeling in Modern ML, Quality or Scale: Experts Weigh In
AI relies on data labeling for training algorithms – without the data, there can’t be any machine learning. Data labeling accuracy is often difficult to achieve on its own, but it becomes even more of an issue when scalability is at stake. It’s believed by many... Read more