Digests » 54
The human visual system has a remarkable ability to make sense of our 3D world from its 2D projection. Even in complex environments with multiple moving objects, people are able to maintain a feasible interpretation of the objects’ geometry and depth ordering. The field of computer vision has long studied how to achieve similar capabilities by computationally reconstructing a scene’s geometry from 2D image data, but robust reconstruction remains difficult in many cases.
Linear Regression (LR) is one of the most simple and important algorithm there is in data science. Whether you’re interviewing for a job in data science, data analytics, machine learning or quant research, you might end up having to answer specific algebra questions about LR. Here’s all you need to know to feel confident about your LR knowledge.
I live in a great city. But like in most cities, finding a parking space here is always frustrating. Spots get snapped up quickly and even if you have a dedicated parking space for yourself, it’s hard for friends to drop by since they can’t find a place to park.
GPT-2 is a generative model, created by OpenAI, trained on 40GB of Internet to predict the next word. And OpenAI found this model to be SO good that they did not release the fully trained model — which some say is against their founding motto of making AI open to all — due to their “concerns about malicious applications of the technology”.
A record-shattering new AI called Photofeeler-D3 can predict first impressions from a photo or video. Soon, Photofeeler-D3 could help you pick the most flattering photos from your camera roll, recommend glasses for your face, and more.