Category Archives: Machine Learning

Learning with Limited Labeled Data

Categories: Machine Learning

This post was originally published on the Cloudera Fast Forward Labs blog.  In recent years, machine learning technologies – especially deep learning – have made breakthroughs which have turned science fiction into reality. Autonomous cars are almost possible, and machines can comprehend language. These technical advances are unprecedented, but they hinge on the availability of…

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An introduction to Federated Learning

Categories: Data Science Machine Learning

We’re excited to release Federated Learning, the latest report and prototype from Cloudera Fast Forward Labs. Federated learning makes it possible to build machine learning systems without direct access to training data. The data remains in its original location, which helps to ensure privacy and reduces communication costs. This article is about the business case…

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Federated Learning: Machine Learning with Privacy on the Edge

Categories: IoT / Connected Products Machine Learning

Federated Learning is a technology that allows you to build machine learning systems when your datacenter can’t get direct access to model training data. The data remains in its original location, which helps to ensure privacy and reduces communication costs. Privacy and reduced communication make federated learning a great fit for smartphones and edge hardware,…

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Boosting enterprise machine learning with automated feature engineering

Categories: Machine Learning

Machine learning. The very name suggests there’s little involvement required from actual people. It’s a bit surprising to note, then, that perhaps the most limiting factor in data science and machine learning today is people. People add complexity. People add the risk of error. And people add a lot of time. However, we’ll always need…

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