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AI with Metaverse will change the world in 2030 Members Public

Integrating AI with the Metaverse is expected to revolutionize how we interact with technology and each other. In 2030, this synergy is projected to transform the world and open up new opportunities in various fields, ranging from entertainment to healthcare and education.

Hemachandran K
Hemachandran K
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A Guide to the YOLO Family of Computer Vision Models Members Public

YOLO (You Only Look Once) is an advanced algorithm that can detect and recognize various objects in a picture in real-time, faster and more accurately than any other algorithm. The YOLO family is advancing, step-by-step, and every update adds to its potential.

Dmitry Spodarets
Dmitry Spodarets
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Why Privacy is a Thing of the Past in the AI-Powered Classroom Members Public

Artificial intelligence (AI) has the potential to revolutionize higher education, offering personalized learning experiences and increasing efficiency. However, as with any technology, there are also concerns about privacy and discrimination that must be addressed. One major concern is the issue of privacy in the collection and use of student data.

Dr. Raul Villamarin Rodriguez
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AVL Binary Tree Operations Members Public

In this article, the author described AVL trees and operations you can perform on them, such as inserting a node in different variants (for example, left, right or right, right).

Dr. Basant Agarwal
Dr. Basant Agarwal
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Bringing GitOps to ML with dstack Members Public

GitOps is a DevOps paradigm that helps teams ship software more quickly by applying things like version control, collaboration, compliance, and CI/CD. In ML, GitOps is still at the trial stage and isn’t adopted at scale yet. This post sums up some of the ideas around GitOps and

Andrey Cheptsov
Andrey Cheptsov
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“You Can’t Predict the Errors of Your Model”… Or Can You? Members Public

NannyML has released DLE, an algorithm able to predict the MAE and the MSE of your regression model, in the absence of the ground truth In a previous article, we have seen how to predict the performance of your classification model, before the ground truth is available. This is super

Samuele Mazzanti
Samuele Mazzanti
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MLOps in 10 Minutes Members Public

How MLOps helps across all stages of ML project

Dmitry Spodarets
Dmitry Spodarets
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Data Science and Machine Learning from Scratch [And More] Members Public

We believe that any data scientist and ML professional should never stop learning. In this post, we provide an overview of the best resources and courses you can use to start digging in.

Dmitry Spodarets
Dmitry Spodarets
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