Algorithm

At the first VidCon since 2019, YouTube’s top earner in the U.S., MrBeast, got on stage to talk to YouTube’s director of discovery Todd Beaupré about one of the biggest questions on creators’ minds: How does the recommendation algorithm actually work? “There’s actually a bunch of monkeys in a room,” Beaupré joked, addressing an audience of hundreds of creators crammed into every open seat. Creators are eager to crack the code for YouTube’s recommendation engine, but if you ask MrBeast, whose real name is Jimmy…

Is it possible to comprehend what a pig is feeling when it screeches or grunts? A group of scientists from Switzerland, Denmark, Germany, France, Norway, and the Czech Republic have discovered a means to decipher pig language. Researchers were able to capture the feelings of the pigs using artificial intelligence in the study released in Scientific Reports by collecting their songs in various settings. The AI pig translator, which identifies a pig’s emotion through oinks, snuffles, grunts, and squeals, helps in…

Eyeing a major technological leap, the National Stock Exchange (NSE) is exploring an "unsupervised machine learning model" to plug anomalies in algorithmic orders. The machine learning algorithms or algo monitor trade results and detect patterns that determine if stock prices go up or down.In its annual report for 2021-22, the exchange said that it has developed well-curated market surveillance mechanisms backed by robust technology architecture over the years. The bourse's surveillance systems identify malpractices and…

Implement Selection, Bubble, Insertion, Merge, and Quick Sort Algorithms using PythonIntroductionSorting arrays is common in programming to help understand data and perform lookups. Thus, the speed associated with sorting large quantities of information is critical to functional designs and optimising running time. Many algorithms exist to complete the task of ordering objects.This article demonstrates the implementation and visualisation of five popular sorting algorithms. Code is in Python, and the graphical interface…

Let’s know about the core of every AI algorithm are three basic ingredients At the core of every AI algorithm are three basic ingredients: 1) the ability to measure, 2) knowing how much of what you measure needs to be processed, and, of course, 3) the ability to process more than one input at a time. To what depth a system can measure can be thought of as its potential. Determining what aspects of those measurements must be sent to the processor can be thought of as delivering that potential. Finally, knowing how…

Training a neural network from scratch takes a great extent of time and huge computation power. One way to overcome both these obstacles is to implement transfer learning.Source: pixabay.comNot having sufficient data, time or resources represents a critical complication in building an efficient image classification network. In this article, I present a straightforward implementation where I get around all these lack-of-resource constraints. We will see what transfer learning is, why it is so effective, and finally, I will…

Levees are constructed to protect riverside towns from flooding, but they can also prevent natural processes important to river health. Credit: Infrogmation of New Orleans/Wikimedia, CC BY-SA 2.0 Over the past 300 years, humans have dramatically altered rivers through mining, draining, dredging, levee construction, and other activities. Artificial levees, for instance, provide a barrier between rivers and their floodplains to…

Facebook reportedly sent an internal memo to its employees directing them to transform their app's feed to function similarly to TikTok. Meta executives supposedly had concerns regarding the booming growth of TikTok, which has appeared as a legitimate challenger to the dominance of Facebook in the social media space. Furthermore, the stagnant growth of Facebook, especially among the youth, has reportedly forced Meta to rethink the Facebook feed. However, employees have reportedly raised concerns regarding the social…

A 2018 change in Facebook’s algorithm resulted in significant boosts in engagement for local Republican groups even though their Democratic counterparts posted more often, according to newly published . The findings, first NBC News, line up with one of the major revelations of the . Namely, that a change meant to emphasize content from family and friends wound up making News Feed more divisive by incentivizing negative posts. The latest research, published in Research & Politics, used CrowdTangle data to measure…

What Is Supervised Learning? Supervised learning is a machine learning subset where a machine learning model is trained on labeled (inputs) data. As a result, the supervised model is capable of predicting further outcomes (outputs) as accurately as possible. The concept behind supervised learning can be explained from real-life scenarios such as a teacher tutoring a child about a new topic for the first time. For simplification, let's say that the teacher wants to teach the child to successfully identify the image of a…