Accelerating Linear Models for Machine Learning

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Accelerating Linear Models for Machine Learning

Accelerating Linear Models for Machine Learning – Tech.Decoded powered by Intel® Software

“If you’ve ever used Python and scikit-learn to build machine learning (ML) models from large data sets, you may have also wished that you could make these computations go faster. What if I told you that altering a single line of code could accelerate your ML computations? What if I also told you that getting faster results doesn’t require specialized hardware?

In this article, I’ll teach you how to train ridge regression models using a version of scikit-learn that’s optimized for Intel CPUs, then compare the performance and accuracy of these models trained with the vanilla scikit-learn library. This article continues our series on accelerated ML algorithms…”

Source: techdecoded.intel.io/resources/accelerating-linear-models-for-machine-learning/

February 9, 2021
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