A 2018 report revealed that we generated close to 2.5 quintillion bytes of data every single day. Contrary to popular belief, not all the data we generate can be processed for insights. For data that can be used for training machine learning algorithms, the data has to be classified.
If you ask a layman how Artificial Intelligence models and algorithms work, they would tell you that it involves just three steps:
Data is fed to the algorithms The algorithms process the data The desired results are obtained
But in reality, this is not how an AI
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