Sunday, February 2, 2020

Uber's Machine Learning Platform : Michelangelo

Before Michelangelo, there were number of challenges with building and deploying machine learning models related to the size and scale of operations. While data scientists were using a wide variety of tools to create predictive models (R, scikit-learn, custom algorithms, etc.), separate engineering teams were also building bespoke one-off systems to use these models in production. As a result, the impact of ML at Uber was limited to what a few data scientists and engineers could build in a short time frame with mostly open source tools. Read More...

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Rotate Matrix at 90 degree

You are given an n x n 2D matrix that represents an image. Rotate the image by 90 degrees (clockwise). Example : For a = [[1, 2, 3],...