The importance of data science is evolving as the demand for data-driven decisions. As a data science professional it is important to have the mathematical skills to analyse data and take insights ...

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Abstract: Many machine learning and data-related applications require the knowledge of approximate ranks of large data matrices at hand. This letter presents two computationally inexpensive techniques ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...