Charles Gerth, Author at Science4Data

Why we should train workers like we train machine learning algorithms

The evolution of workforce opportunity in the United States depends on the future of education and our commitment to far-reaching, equitable federal

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

The AI, machine learning, and data science conundrum: Who will manage the algorithms?

Artificial intelligence and machine learning are being adopted at a rapid clip, and the management headaches are just about to begin.

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

4 Building Blocks of the In-House Data Science Team You Need

Know what skills are missing and who can provide them.

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

Here’s how UX Design has made Machine Learning Flawless

The growing importance of machine language has led to freeing up human resources

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Gain a deeper understanding of machine learning with these e-learning courses on Matlab and Simulink

Dive deep into machine learning for only $35.

Sourced through Scoop.it from: mashable.com

Big data is now economics and not just technology

Bill Schmarzo, the chief technology officer IoT and analytics at Hitchi Vantara, sits down with TechRepublic's Tonya Hall to talk about how cleaning the right data using machine learning can yield a positive ROI in your AI.

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

Mixing AI and Machine Learning Into Business Processes

Sourced through Scoop.it from: www.manufacturing.net

Machine learning applications: From lab to enterprise

Machine learning applications today begin life as models. These must be updated and maintained once they're in the field if enterprises want to truly succeed with the technology. This wide-ranging Talking Data podcast looks at the journey from the lab.

Sourced through Scoop.it from: searchenterpriseai.techtarget.com

Artificial intelligence project to help bring the power of the sun to Earth is picked for first U.S. exascale system

To capture and control the process of fusion that powers the sun and stars in facilities on Earth called tokamaks, scientists must confront disruptions that can halt the reactions and damage the doughnut-shaped devices. Now an artificial intelligence system under development at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) and Princeton University to predict and tame such disruptions has been selected as an Aurora Early Science project by the Argonne Leadership Computing Facility, a DOE Office of Science User Facility.

Sourced through Scoop.it from: phys.org

What is artificial intelligence?

Opinion: Mike Magee digs beneath the surfaceEvery day, all over the world, numerous politicians gab on and on about artificial intelligence (AI)

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Swift Studio for Complex Workflows