New Machine Learning Research on Learning With Limited Labeled 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 labeled data requirement in supervised machine learning thereby opening up new product possibilities.
The new research report covers:
- An introduction to machine learning with limited labeled 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 labeled
- 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.