Data Science Current

How to tackle lack of data: an overview on transfer learning

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. Labeled data might be also like uranium.

Supervised Learning

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SimPer: Simple self-supervised learning of periodic targets

Google Research AI blog

JULY 18, 2023

Posted by Daniel McDuff, Staff Research Scientist, and Yuzhe Yang, Student Researcher, Google Learning from periodic data (signals that repeat, such as a heart beat or the daily temperature changes on Earth’s surface) is crucial for many real-world applications, from monitoring weather systems to detecting vital signs.

Supervised Learning

Supervised Learning Machine Learning Machine Learning

Data Science Current

How to tackle lack of data: an overview on transfer learning

SimPer: Simple self-supervised learning of periodic targets

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