AI (Deep Learning) explained simply

#artificialintelligence 

Sci-fi level Artificial Intelligence (AI) like HAL 9000 it was promised since 1960s, but PCs and robots kept dumb until recently. Now, tech giants and startups are announcing the AI revolution: self-driving cars, robo doctors, robo investors, etc. "AI" it's the 2017 buzzword, like "dot com" it was in 1999. Is this a marketing bubble or real? Machine learning (ML), a subset of AI, make machines learn from experience, from examples of the real world: the more the data, the more it learns. A software is said to learn from experience with respect to a task, if its performance at doing the task improves with experience. Artificial Neural Networks (ANN) is only one approach to ML, others include decision trees, regression etc. Deep learning is an ANN with many levels of abstraction. Despite the "deep" hype, popular ML methods are "shallow" too.

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