Core Computing Blog

Machine Learning and Its Practical Impact

From SAS ( -

"Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look."

In practical terms, machine learning is what companies use to learn your likes and dislikes. It allows them to market products directly to you that you didn't even know you wanted but can't live without. Ever notice how Facebook always manages to put up advertisements about things that you have JUST been looking at? Machine learning. Ever notice how once you look at a fake news site you see more and more of those suggested to you? Machine learning.

From a day to day perspective, machine learning can be annoying. From a security perspective, machine learning should worry you. Here's why (and I quote from "Starting on January 23, 2017, Evernote says the shift to machine learning means the service will collect data and then adjust and offer you services based on how you use Evernote. New reliance on machine learning technologies to improve the service means that “human review is simply unavoidable” in order to 'make sure that our machine learning technologies are working correctly.'”

Sure, you can opt out of the machine learning part of the Evernote update, but you cannot opt out of the humans-can-read-your-goodies part of the update. Our recommendation, therefore, is if you are concerned about other people reading your data, that you remove all your notes and put them into some other application. Here at Core, this is what we will be doing.

For the next couple of weeks we will be testing various options for notetaking. We'll post back here when we have a great recommendation.