New Machine Learning research on learning with limited labelled data

Cloudera Fast Forward Labs unveils a Machine Learning capability that opens up product possibilities.

Cloudera Fast Forward Labs’ latest Machine Learning research report introduces a new Machine Learning capability that relaxes the stringent labelled data requirement in supervised Machine Learning, thereby opening up new product possibilities.

The new research report covers:

• An introduction to Machine Learning with limited labelled data for business and technical audiences
• Practical advice on Machine Learning – specifically around active learning, an approach that takes advantage of collaboration between humans and machines to smartly pick a small subset of data to be labelled
• Implications from both technical and ethical perspectives, availability of tooling and a maturing supporting ecosystem

In addition to the new report, the interactive web prototype that demonstrates various active learning strategies on multiple image datasets, is available.