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What is the difference between deep learning and machine learning?

By Noel Moran | Last updated: August 17, 2021

Deep learning is a much-hyped buzzword that sees AI mimic some of the aspects of human neural activity for the likes of processing raw data and, ultimately, attempting to figure out what to do with it. The potential for such automated data analysis is being heavily explored by the fintech industry. Data sets that could take people decades to deconstruct and decipher can be analyzed in a fraction of the time with deep learning's human-like construct.

What is machine learning, on the other hand? Fundamentally, it is the art of enabling a computer to mimic some of the thinking habits of a human and to improve accuracy over time as a computer begins to anticipate without human intervention. But the father of AI said it best: “I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted." – Alan Turing

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Artificial Intelligence Machine Learning

Written by Noel Moran

Profile Picture of Noel Moran

FinTech magnate, Noel Moran, is CEO at Prepaid Financial Services. With revenues of $58.9 million in 2017 (an increase in revenue for 10 consecutive years), he is eyeing an IPO in 2019. Noel kickstarted his career in his teens after leaving school at 17 with no formal qualifications. In 2017, his $1 million Innovation Fund has attracted pitches from four continents and is a successful incubator. He recently achieved a triple crown of wins by beating 112,000 companies to win one of the world's biggest digital technology prizes. He immediately followed this up by winning two more highly prestigious awards - an Entrepreneur of the Year Award for a continent and a CEO of the Year Award for a country. His name will be officially unveiled at the World Economic Forum (WEF) gathering in Davos, Switzerland in January 2019.

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