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within the federated learning series I'm doing, and should you just landed here, I might recommend going through the primary part where we discussed how federated learning works at a high level. For...

instalment in my two-part series on the Ray library, a Python framework created by AnyScale for distributed and parallel computing. Part 1 covered the way to parallelise CPU-intensive Python jobs in your local...

(AWS) are the world’s two largest cloud computing platforms, providing database, network, and compute resources at global scale. Together, they hold about 50% of the worldwide enterprise cloud infrastructure services market—AWS at 30%...

I the concept of federated learning (FL) through a comic by Google in 2019. It was a superb piece and did a fantastic job at explaining how products can improve without sending user...

Feature detection is a website of computer vision that focuses on using tools to detect regions of interest in images. A big aspect of most feature detection algorithms is that they don't employ machine...

! In case you’ve been following along, we’ve come a good distance. In Part 1, we did the “dirty work” of cleansing and prepping. In Part 2, we zoomed out to a high-altitude view of...

! Welcome back to the “EDA in Public” series! That is Part 2 of the series; when you haven’t seen Part 1 yet, read it here. Here’s a recap of what we conquered. In Part...

! Welcome to the beginning of a serious data journey that I’m calling “EDA in Public.” For individuals who know me, I consider one of the best method to learn anything is to tackle...