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Devil Comet to be nearest to Earth on April 21 after 71 years, has size bigger than world’s tallest mountain

The inter-galactic visitor is a cold, active cryovolcanic comet zipping through the skies and has earned a wicked nickname – the ‘Devil Comet’ – since it periodically explodes violently.A periodical comet, named ’12P/Pons-Brooks’ is scheduled to greet Earth from its closest point in the dark skies from April 21 as it zooms towards the sun on its return journey after 71 years, exciting the international scientific community.This week, the comet gave its early glimpses to humanity as a bright, tiny spot which was captured…

How to Merge Data Frames by The Nearest Match in Pandas? Use merge_asof.

A short post about a useful function in Pandas, merge_asof. It’s one of the most used tools in Pandas when dealing with time series data.Continue reading on Towards Data Science » A short post about a useful function in Pandas, merge_asof. It’s one of the most used tools in Pandas when dealing with time series data.Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s…

Improving GenAI With the Nearest Neighbor

Forget about artificial intelligence (AI) and all that fancy math for a moment. Let’s talk about cheese. Specifically when you are creating a charcuterie board. If you’re not familiar, the United State’s version of a charcuterie board is (literally) a board of wood or stone with a spread of meats, cheeses, and other tasty bits. If you’re doing it right, each meat on the board has been meticulously paired with a specific cheese to complement flavor, texture, and appearance (we eat with our eyes, you know). Creating a board…

Implementing Soft Nearest Neighbor Loss in PyTorch

The class neighborhood of a dataset can be learned using soft nearest neighbor lossIn this article, we discuss how to implement the soft nearest neighbor loss which we also talked about here.Representation learning is the task of learning the most salient features in a given dataset by a deep neural network. It is usually an implicit task done in a supervised learning paradigm, and it is a crucial factor in the success of deep learning (Krizhevsky et al., 2012; He et al., 2016; Simonyan et al., 2014). In other words,…

Finding nearest shortest tower in Array

Given an array arr where each element (arr) represents the height of the tower. Find the nearest possible tower that is shorter than it for… Read More The post Finding nearest shortest tower in Array appeared first on GeeksforGeeks. Given an array arr where each element (arr) represents the height of the tower. Find the nearest possible tower that is shorter than it for… Read More The post Finding nearest shortest tower in Array appeared first on GeeksforGeeks. FOLLOW US ON GOOGLE NEWS Read original article here…

Astronomers spot nearest star-destroying black hole

Astronomers have detected a supermassive black hole ripping a passing star to shreds. Not only was this cataclysm closer to Earth than ever seen before, but its location and light emissions were unusual, hinting at a large unseen population of these events.Black holes are notorious for gobbling up anything that gets too close, and that includes stars. But it’s not a neat little slurp – black holes are far messier eaters than you might expect, stretching objects out and throwing matter all over the place. When stars are on…

A Deep Dive Into Our Nearest Star-Forming Galaxy

This artist’s impression depicts a white dwarf star found in the closest known orbit around a black hole. NASA’s Chandra X-ray Observatory discovered this extraordinarily close binary in 47 Tucanae, a dense cluster of stars on the edge of the Milky Way. Credit: NASA/CXC/M.WeissA Texas Tech astronomer is leading a team awarded a highly competitive Chandra program to study the stellar remnants in the Large Magellanic Cloud.Vallia Antoniou, an assistant professor of practice in the Department of Physics and Astronomy at…

Nearest Neighbors Regressors — A Visual Guide | by Angela Shi | Mar, 2023

Visual Understanding of the Models and the Impacts of HyperparametersK Nearest Neighbors or KNN is one of the most simple models in machine learning. In fact, to some extent, there is no model, because, for the prediction of a new observation, it will use the entirety of the training dataset to find the “nearest neighbors” according to a distance (usually the euclidean distance). And then in the case of a regression task, the prediction value is calculated by averaging the target variable values of these neighbors.Since…

Finding Minimum travel time to Nearest city from Current location

Improve Article Save Article Like Article Improve Article Save Article Given an integer N representing the number of cities near you along with two arrays pos representing the position of the city and time representing the time required to move 1 unit of distance for a particular city, the task is to find the minimum time required to visit any city where you are currently at cur position.Examples:Input: N = 3, cur = 4, pos = , time = Output: 2Explanation:Total time taken by the 1st taxi will be: (4-1)*2 = 6Total time…

Replace the values of the nodes with the nearest Prime number

Given the head of a linked list, the task is to replace all the values of the nodes with the nearest prime number. If more… Read More The post Replace the values of the nodes with the nearest Prime number appeared first on GeeksforGeeks. Given the head of a linked list, the task is to replace all the values of the nodes with the nearest prime number. If more… Read More The post Replace the values of the nodes with the nearest Prime number appeared first on GeeksforGeeks. FOLLOW US ON GOOGLE NEWS Read original…