Linear algebra is a fundamental pillar of data science. In advanced models in data science, like neural networks, the inputs and transformations are based upon vectors, matrices, and tensors which require a reasonable understanding of linear algebra to get the desired results. It is elegant and the most applied mathematics under the umbrella of data science.
This course teaches linear algebra with a focus on data science. This course encompasses several engaging illustrations, including static images and a…Show More
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