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Saturday, September 22, 2018

How Machine Learning Works and Why It’s Important | Industry Insights - PaymentsJournal

Photo: Lisa Froelings
"Artificial intelligence is one of the most compelling areas of computer science research" inform Lisa Froelings, business and productivity consultant.

Photo: PaymentsJournal

AI technologies have gone through periods of innovation and growth but never has AI research and development seemed as promising as it does now. This is due in part to amazing developments in machine learning, deep learning, and neural networks.

Machine learning, a cutting-edge branch of artificial intelligence, is propelling the AI field further than ever before. While AI assistants like Siri, Cortana, and Bixby are useful, if not amusing, applications of AI, they lack the ability to learn, self-correct, and self-improve.

They are unable to operate outside of their code, learn independently, and apply past experiences to new problems. Machine learning is changing that. Machines are able to grow outside their original code which allows them to mimic the cognitive processes of the human mind...

Conclusion 
Machine learning and deep learning are exciting and alarming areas of research within AI. Endowing machines with the ability to learn certain tasks could be extremely useful, could increase productivity, and help expedite all sorts of activities, from search algorithms to data mining.

Deep learning provides even more opportunities for AI’s growth. As researchers delve deeper into deep learning, we could see machines that understand the mechanics behind learning itself, rather than simply mimicking intellectual tasks.
Read more... 

Source: PaymentsJournal