You're reading from Machine Learning with the Elastic Stack - Second Edition

Product typeBook

Published inMay 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781801070034

Edition2nd Edition

Languages

Python

Tools

Elasticsearch

Concepts

Machine Learning

Authors (3):

Rich Collier

Camilla Montonen

Bahaaldine Azarmi

View More author details

Contrasting forecasting with prophesying

Past performance is not indicative of future results. This disclaimer is used by financial companies when they reference the performance of products such as mutual funds. But this disclaimer is a bit of an odd contradiction, because the past is all that we have to work with. If the companies that comprise the mutual fund have had consistently positive quarterly results for the last eight quarters straight, does that guarantee that they will also have a positive set of results for the next eight quarters and that their public valuation will continue to rise? Probability could be on the side of that being the case, but that might not be the whole story. And, before we get too wishful in thinking that Elastic ML’s ability to forecast is our key to making a fortune in the stock market, we should be realistic about one key caveat—there are always uncontrollable factors.

The reason financial companies use the preceding disclaimer...

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Machine Learning with the Elastic Stack - Second Edition

Published in: May 2021Publisher: PacktISBN-13: 9781801070034

Authors (3)

Rich Collier

Rich Collier is a solutions architect at Elastic. Joining the Elastic team from the Prelert acquisition, Rich has over 20 years' experience as a solutions architect and pre-sales systems engineer for software, hardware, and service-based solutions. Rich's technical specialties include big data analytics, machine learning, anomaly detection, threat detection, security operations, application performance management, web applications, and contact center technologies. Rich is based in Boston, Massachusetts.
Read more about Rich Collier

Camilla Montonen

Camilla Montonen is a Senior Machine Learning Engineer at Elastic.
Read more about Camilla Montonen

Bahaaldine Azarmi

Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.
Read more about Bahaaldine Azarmi

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Contrasting forecasting with prophesying

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