Machine Learning is an algorithm that can learn from data without relying on rules-based programming. Machine learning can enable models that learn the behavior of well-known crypto exchanges and identify new ones. Data rich nature of crypto-assets creates some new scenarios that can be tackled using machine learning. Machine Learning can identify significant patterns in a given crypto-asset given a unique canvas of a given data set. Using machine learning to identify groups of groups of investors and groups of token holders that qualify their behavior, unvised models can be used to forecast the forecast.
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Jesus Rodriguez
@jrodthoughts
Chief Scientist, Managing Partner at Invector Labs. CTO at IntoTheBlock. Angel Investor, Writer, Boa