Common Misconceptions About Data Labeling and Classification

Just like human students need teachers to help them understand educational material, machines require more than just raw data to learn. Data labeling is a key component of a successful machine learning project, but unfortunately, there are some common misconceptions about its importance, how it is done, and who can do it. 

Read More

Data Annotation tool for labeling topic modeling dataset: Skyl Labelwise

Topic modeling is an unsupervised machine learning technique that's capable of scanning a set of documents, detecting word and phrase patterns within them, and automatically clustering word groups and similar expressions that best characterize a set of documents.

Read More

Data Labeling Platform - Skyl

Skyl's data labeling platform allows you to quickly annotate and label data to suit your machine learning needs.

Read More

What is Data Labeling in machine learning?

When you are embarking on a machine learning project, data labeling is one of the key components that will determine the success of the project. One of the important steps in machine learning projects (especially in unsupervised methods) is data labeling which is a process of augmenting raw data with a set a meaningful tags.

Read More