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

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

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.

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

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

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

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.

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

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

The captured data should be pulled and put together and the benefits of collection should outweigh the costs of collection and analysis.

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

Artificial intelligence (AI) systems spending will reach $5.2 billion in Europe in 2019, a 49% increase over 2018 – driven by a need for better automation Artificial intelligence (AI) systems spending will reach $5.2 billion in Europe in 2019, a 49% increase over 2018 – driven by a need for better automation and customer experience

Sourced through Scoop.it from: www.telemediaonline.co.uk

Tibor Vass, Director, Genesys, looks at how natural language processing is opening the door for more human-like conversations with bots

Sourced through Scoop.it from: www.information-age.com

Machine learning and natural language capabilities will bring the power of analytics to more people through semantics.

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