Georgia Tech researchers Vidya Muthukumar and Eva Dyer are leading a multi-institutional project to develop a theory for data augmentation, aiming to improve the generalization and fairness of AI ...
Improving machine learning-based modeling of semiconductor devices by data self-augmentation. arXiv.org. Visit Semiconductor Engineering’s Technical Paper library here and discover many more chip ...
Learn what overfitting is, how it impacts data models, and effective strategies to prevent it, such as cross-validation and simplification.
An example of visual data augmentation techniques used in machine learning, which captures the main principle of variability effects: exposure to variation along non-discriminative dimensions (i.e., ...
It is no longer a secret that big data is a reason behind the successes of many major technology companies. However, as more and more companies embrace it to store, process and extract value from ...
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When people hear “artificial intelligence,” many envision “big data.” There’s a reason for that: some of the most prominent AI breakthroughs in the past decade have relied on enormous data sets. Image ...
Data is eating the world so Andrew Ng wants to make sure we radically improve its quality. “Data is food for AI,” says Ng, and he is launching a campaign to shift the focus of AI practitioners from ...
From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms leading the global market today. The 20 World-Leading Data Science And Machine ...
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