Using a Keras Long Short-Term Memory Model to Predict Stock Prices

Re:Using a Keras Long Short-Term Memory Model to Predict Sto... by AndrewKemendo on Friday November 09, 2018 @06:11PM (#18418796)

I concur totally, however think we should add in a caveat that is relevant for this audience: ...only the major consumer tech companies are actually reaping the benefit of applied ML in a way that is profitable.

That's because they have the platforms and applications that people are using at scale. So ML is a force multiplier if you already have a consistent and strong user base for a good product.

If you're trying to get a product or company started, unless you're a pure ML research company like Clarifai (and arguably even then), ML is probably going to cost you more than you gain.

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Re:Using a Keras Long Short-Term Memory Model to Predict Sto... by vinay_ys on Saturday November 10, 2018 @01:09AM (#18420183)

These days, startups founded by people who have worked in big tech companies and have witnessed the power of ML/AI will definitely apply it from day-1.

You don't have to invent or implement the algorithm yourself. You can use AI/ML intelligent/cognitive services provided by the big-3 cloud companies to reduce your starting cost significantly.

To have positive ROI, your problem complexity should have crossed the threshold where common-sense traditional solutions don't work any more.

If you do embark on ML research yourself, then be sure to walk the path from simpler models to complex ones while carefully establishing performance metrics.

[ Parent | on HN ]