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The birth of Artificial Intelligence (AI) is credited to the Dartmouth Workshop in 1956, where the idea of creating intelligent machines was discussed.
In 2010, deep learning – a subset of machine learning – rose to prominence. Deep learning has gained significant attention in recent years from investors.
AI-powered machines have the ability to analyze large amounts of data, identify complex patterns and make data-driven predictions fast.
It’s worth noting that deep learning and pattern recognition algorithms are trained by analyzing large amounts of data.
However, analyzing past market performance is not always a good predictor of the future as market conditions often change.
Investors and financial institutions combine deep learning with traditional human-made analysis to gain advantage over