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Feature Selection Techniques in Machine Learning

Mlearning.ai

The two main categories of feature selection are supervised and unsupervised machine learning techniques. Imagine you have a box of mixed-up sounds like people talking, music playing, cars honking. Choosing the right feature selection method is like choosing the right weapon in a video game. Here’s the overview.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

By training on many different examples of particular categories of objects (e.g., lots of single images of different cats), we can learn enough about the expected 3-D structure of objects to create a 3-D model from just a single image of a novel category (e.g., just a single image of your cat, as shown in the LOLCats clips below).

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Deploying ML Models on GPU With Kyle Morris

The MLOps Blog

I worked on autonomous cars before this, and if you don’t understand how the hardware executes, you can’t take advantage of the speed optimizations. Even experts like people coming from Tesla, Cruise, and car companies they’re still just not taking advantage. People will auto-scale up to 10 GPUs to handle the traffic.

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