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10 Common Applications of Deep Learning in Artificial Intelligence

ProjectPro

Perhaps the unwavering emergence of Deep Learning Applications on each passing day is the prove, maybe, we're already lodging in – into an advanced world. According to Markets and Markets, the deep learning application market was worth USD 2.28 billion in 2017 and is anticipated to be worth USD 18.16

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What is Machine Learning and Why It Matters: Everything You Need to Know

Knowledge Hut

It means a computer or a system designed with machine learning will identify, analyse and change accordingly and give the expected output when it comes across a new pattern of data, without any need of humans. 1996: Machine beats man in a game of chess IBM developed its own computer called Deep Blue, that can think.

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Keras vs Tensorflow - Deep Learning Frameworks Battle Royale

ProjectPro

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

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Recap of Hadoop News for May 2017

ProjectPro

News on Hadoop - May 2017 High-end backup kid Datos IO embraces relational, Hadoop data.theregister.co.uk , May 3 , 2017. Forrester.com, May 4, 2017. Source: [link] ) Chameleon Speeds Development of Portable Hadoop Reader for Parallel File Systems.hpcwire.com, May 4, 2017. EnterpriseIrregulars.com, May 5, 2017.

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Recap of Hadoop News for April 2017

ProjectPro

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Forbes.com, April 3, 2017. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. April 5, 2017.

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Generative AI Models Explained

AltexSoft

Generative AI refers to unsupervised and semi-supervised machine learning algorithms that enable computers to use existing content like text, audio and video files, images, and even code to create new possible content. Most machine learning models are used to make predictions. What is Generative AI and why should you care?

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Understanding Generative AI: A Comprehensive Guide

Edureka

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. To summarise, generative AI is an effective tool in machine learning and artificial intelligence that draws on preexisting data to create new, similar data.