Businesses of the past operated like a rookie playing darts, throwing something and hoping it sticks.
Sourced through Scoop.it from: phys.org
Tech leaders need to put AI and its subcategories into practice--and into common business vocabulary that everyone can understand.
Sourced through Scoop.it from: www.techrepublic.com
As machine learning expands into climate modeling, MIT EAPS Associate Professor Paul O’Gorman answers what that looks like and why it's important now.
Sourced through Scoop.it from: news.mit.edu
Organizations are enthusiastic about hiring data scientists, but must remember that data-driven projects will not solve every problem.
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Machine learning is poised to pave the way for many exciting opportunities for businesses, but there are many hurdles to be crossed before getting to the finishing line. Many organisations are stil…
Sourced through Scoop.it from: blogs.lse.ac.uk
Natural Language Processing has been on the rise — from simple text to speech conversion to powering intelligent voice assistants, we have seen various applications of NLP. Voice assistants like Siri and Alexa have become widely popular among users. Today, NLP has become a core component of all search engines. NLP for Business In the…
Sourced through Scoop.it from: www.analyticsindiamag.com
4 principles for finding efficiently combining the best product design methods with the pragmatic applications of machine learning:
Sourced through Scoop.it from: venturebeat.com
Technology giant Microsoft is exploring ways of tapping machine learning to help employees of companies globally sift through the large amount of emails they receive on a daily basis, the company's research division said in a blog post.
Sourced through Scoop.it from: techcircle.vccircle.com
Data scientists are in demand, but a master's degree in the field may not open as many doors as you think.
Sourced through Scoop.it from: www.techrepublic.com
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