A machine learning model can be seen as a miracle but it’s won’t amount to anything if one doesn’t feed good dataset into the model.

Sourced through Scoop.it from: www.analyticsindiamag.com

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The inventor of generative adversarial networks has moved from Google to Apple as the latter company speeds up its AI development efforts.

Sourced through Scoop.it from: venturebeat.com

Researchers at MIT have used AI to improve the flavor of basil. It’s part of a trend that is seeing artificial intelligence revolutionize farming.

Sourced through Scoop.it from: www.technologyreview.com

What will machine learning look like 15-20 years from now? This question was originally answered on Quora by Keno Fischer.

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Rip-and-replace your expensive hardware? Trust a startup? Or DIY? Here is real-world advice for easing into artificial intelligence and machine learning applications.

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Beyond facial recognition, we're giving smart devices and platforms our intimate biometric details.

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The Machine Learning & Data Science Certification Training Bundle will get you up to speed on the most important and useful elements of AI and machine learning.

Sourced through Scoop.it from: interestingengineering.com

At Enterprise Connect 2019, AI was broadly about computers performing human-like behaviors and learning from tagged data and outcomes.

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Quantity and quality of data are not enough to take full advantage of machine learning. The structures built around data -- and the way data is structured -- influence the value you can derive from machine learning.

Sourced through Scoop.it from: www.zdnet.com