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8 Common Myths About Machine Learning

 
Greenhorn
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Artificial Intelligence and the idea of it has always been around be it research or sci-fi movies. But the advances in AI wasn’t drastic until recently. Guess what changed? The focus moved from vast AI to components of AI such as machine learning, natural language processing, and other technologies that make it possible.

Learning models which form the core of AI started being used extensively. This shift of focus to Machine Learning gave rise to various libraries and tools which make ML models easily accessible. Here are some common myths surrounding Machine

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Clicking on a link when you don't know where it takes you is always a bit iffy. Why not post the correct link?
 
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IMHO what really changed and allowed great enhancement in AI are several other factors like the availability of really big (huge) amount of data and massive computational power - unseen before now. These key factors made possible to apply algorithms and approaces to ML that have been around for a long time.
 
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