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How machine learning helps amplify digital echo chambers in social media

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She writes on policy issues. Dhungana has a degree in economics from Princeton University. He is into programming and machine learning.


University of Derby to collaborate with Aquis on machine learning research project

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Machine learning is the study of computer algorithms which adapt and improve through experience, and a form of artificial intelligence.


Machine Learning in Communication Market Top Impacting Factors, Drivers by: Amazon, IBM …

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Machine Learning in Communication Market research report displays the market size, share, status, production, cost analysis, and market value with …


Seeking a career in Artificial Intelligence? Kerala govt launches course for graduates

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The 776-hour course will help students develop machines for gaming, … has come out with a new Artificial Intelligence and Machine Learning course.



Tackling the misinformation epidemic with "In Event of Moon Disaster"

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Can you recognize a digitally manipulated video when you see one? It's harder than most people realize. As the technology to produce realistic "deepfakes" becomes more easily available, distinguishing fact from fiction will only get more challenging. A new digital storytelling project from MIT's Center for Advanced Virtuality aims to educate the public about the world of deepfakes with "In Event of Moon Disaster." This provocative website showcases a "complete" deepfake (manipulated audio and video) of U.S. President Richard M. Nixon delivering the real contingency speech written in 1969 for a scenario in which the Apollo 11 crew were unable to return from the moon.


Top 10 Machine Learning Algorithms for ML Beginners

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In the last decade machine learning becomes one of the hottest topics in the world, Andrew Ng considers it as the new electricity. In today's world machine learning powers many of the services we use -- recommendation systems like those on Netflix, YouTube, and Spotify; search engines like Google and Baidu; social-media feeds like Facebook and Twitter; voice assistants like Siri and Alexa. Having known that, let's see how machine learning works. In simple terms, machine learning algorithms use statistics to find patterns in massive amounts of data. The data are also known as the dataset, it's could contain images, texts, words, and clicks.