What Should AI Learn from the Randomness in Financial Data?

Author(s): Shunyu (Andy) Tang

Originally published on Towards AI.

The Magic Power of Voting to Increase the Accuracy of Predictions from 60% to 90%

Photo by Paul Wong on Unsplash

Artificial Intelligence (AI) has entered an exponential growth phase since 2012. If AI can do something as good as or better than humans, all of us won’t resist the temptation of using it to free us from doing that thing so that we can focus on something else that AI can’t do. But what can AI do? And what can’t AI do? While I was taking Professor Andrew Ng’s Machine Learning course on Coursera, I remembered vividly how he figured out this problem. Prof. Ng is a professor of AI at Stanford and a pioneer… Read the full blog for free on Medium.

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Published via Towards AI