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ONPASSIVE: A Profound Business Platform Run by Artificial Intelligence

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  ONPASSIVE is one of the profound AI platforms that deliver end-to-end business solutions. With a perfect blend of artificial intelligence and human intelligence, the platform is going to change the world of business. ONPASSIVE ecosystem innovates business activities by allowing companies to employ partial automation to end-to-end automation all in a single platform. ONPASSIVE helps business owners to enhance productivity and provide accuracy and precision by reducing your efforts. Make sure you LIKE, SHARE and COMMENT on this video if you haven't done so already at ▶️ SUBSCRIBE On YouTube: https://trimurl.co/onpassivesubscribe

AI Proving to Be an Integral Part of Cryptocurrency - ONPASSIVE

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AI is real and here to stay All said earlier, AI technology is still real, and several developments in the domain are happening on the ground.  The technology will evolve further and spread its wings in various applications using machine learning algorithms and the massive data explosion that’s happened in the last few years. The algorithms will empower the AI architecture to equip itself with special functions and abilities that can predict the upcoming events and perform accordingly. Few ways that artificial intelligence AI has been making cryptocurrencies safer. Can Prevent Unauthorized Mining Can Prevent Many Types of Hacking Protect Digital Wallets Can AI and cryptocurrencies work together? Cryptocurrencies, on the other hand, are financial assets that also utilize Blockchain and AI. AI functionalities are used to power cryptocurrencies. Artificial Intelligence is used in cryptocurrencies for using to trade by predicting trillions of transactions and arriving at an optimized

Ways YouTube Uses artificial intelligence in 2020

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There are more than  1.9 billion  users logged in to  YouTube  every single month who watch over a billion hours of video every day. Every minute, creators upload 300 hours of video to the platform. With this number of users, activity, and content, it makes sense for YouTube to take advantage of the power of  artificial intelligence (AI)  to help operations. Here are a few ways YouTube, owned by Google, uses artificial intelligence today. R emove Spam content The algorithm pulled down newsworthy videos mistakenly seeing them as “ Violation of Policy ” This is just one of the reasons Google has full-time human specialists employed to work with AI to address violative content. AI has contributed greatly to YouTube’s ability to quickly identify objectionable content. Before using artificial intelligence, only 8% of videos containing “violent content” (banned on the platform) were flagged and removed before ten views had occurred; but after machine learning was used, more th

Effective Business Innovation Success Tips - ONPASSIVE

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The fruitful misuse of new thoughts is essential to a business having the option to improve its procedures, put up better than ever items and administrations for sale to the public, increment its proficiency, and improve its gainfulness. -Mr. Ash Mufareh Founder  ONPASSIVE/GoFounders Welcome to the  ONPASSIVE Platform review ; in this review, we will look at the ONPASSIVE platform, and it’s benefits to business owners. Commercial centers – regardless of whether nearby, local, national, or worldwide – are getting exceptionally serious. The rivalry has expanded because of more extensive access to new advancements and the expanded exchanging and information sharing open doors offered by the internet.  This guide clarifies how you can make development an essential business procedure and diagrams the various methodologies you can take. It offers you guidance on anticipating advancement and making the right business condition to build up your thoughts. It additionally diagrams the

What is Transfer Learning - How Transfer Learning Help You in 2020?

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·       INTRODUCTION Data mining and machine learning technology have already achieved remarkable success in many knowledge engineering areas, including classification, regression, and clustering. However, many machine learning processes work well only under a standard assumption: the training and test data are drawn from the same feature of space and equal distribution. When the distribution changes, most models need to be rebuilt from scratch using newly collected training data. In many real-world applications, it is expensive or impossible to re-collect the required training data and restore the models. It would be nice to reconstruct the need and effort to collect the training data. In such cases,  transfer   learning  between task domains would be desirable.  ·       What is Transfer Learning? In this blog, we give a detailed overview of transfer learning for classification regression and clustering processed in machine learning areas. There has been a conside