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28 Websites to Find Datasets for your Projects

Analytics Vidhya

Whether you’re a student exploring new concepts or a seasoned professional, there’s an undeniable truth we all stumble upon: the importance of quality data. We’ve all heard the saying, “garbage in, garbage out,” and it’s a reminder that our projects are only as good as the data we feed them.

Big Data 167
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Michael Dougherty, CEO & Co-Founder of Remix AI – Interview Series

Unite.AI

In all these phases, I have been excited to see how we all can make a contribution to these inflection points that have shaped our world. As a user, I realized it would open up creativity for anyone and lead to an explosion of creative content, the way smartphones made us all photographers, some of whom morphed into influencers.

AI 317
professionals

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5 Real-World Examples on How AI is Transforming Web3

Analytics Vidhya

Or is it all of these? Artificial Intelligence (AI) is human-like intelligence shown by machines trained by feeding data. Introduction Which technologies do you think will dominate the future? AI, Blockchain, or Web 3.0?

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Introduction to Apache Kafka: Fundamentals and Working

Analytics Vidhya

Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon? All these sites use some event streaming tool to monitor user activities. […].

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Troubleshoot your network with DNS Insights

IBM Journey to AI blog

Up to this point, authoritative DNS providers have approached this challenge in one of two ways: Overwhelm network teams with data Several authoritative DNS providers offer raw data feeds as an add-on feature. There is not enough flexibility to capture all the corner cases or look at an issue through multiple lenses.

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What does numpy.random.seed() do?

Analytics Vidhya

Are you confused about what number to feed in the seed? In case you have any of these or all questions in your mind. This article was published as a part of the Data Science Blogathon Introduction What is numpy.random.seed? For what situation can I use this function? You have come to the right place. This article will answer […].