Machine Learning Trading, Stock Market, and Chaos

#artificialintelligence 

As such, 1/f is an intermediate between random white noise and random walk noise, and in most real chaotic processes the 1/f noise is overlapped by the random frequency-independent (white) noise. In chaotic processes, past events influence current and future events. Artificial Intelligence has been created in different forms: Rules Based, Supervised Learning, Unsupervised Learning, and Deep Learning. Supervised learning is example-based learning, with the examples being representative of the entire data set while unsupervised learning uses clustering to find the hidden patterns within the data.

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