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Weekliii Round-Up: News on Predictive Analytics in Oil and Gas and Semantics in Machine Learning

Updated: Dec 19, 2019

With a short work week for some across the United States and Canada, let's take a moment to catch up on the posts we have shared throughout this week. Read on!

Developing custom software can be challenging - but well worth it. Discover what to take into consideration, like support and brand identity, when choosing the company to create your next go-to software application now.

To be successful, Machine Learning technology needs to be built with the best of both worlds in mind - statistics and semantics. Discover more in this week's #DailyBrainCandiii post.

The problem with likening Machine Learning to human learning is that when humans learn, they connect the patterns they identify to high order semantic abstractions of the underlying objects and activities... In contrast, machines blindly search for the strongest signals in a pile of data. Lacking a cushion of background knowledge or life experiences to understand the meaning of those signals, deep learning algorithms cannot distinguish between meaningful and spurious indicators. Instead, they merely blindly encode the world according to statistics, rather than semantics.

Companies within the Oil and Gas industry are finding new and innovative ways to use knowledge gleaned from Big Data. Predictive analytics is one of the most important uses as it seeks to secure a future for operations across the field. Learn more in this week's #DailyBrainCandiii post.

We're all about the hashtag. Did you know you can follow the #DailyBrainCandiii tag on Twitter, Facebook, and LinkedIn to get all the news we have shared on technology, software, Geographic Information Systems (GIS), Energy industries, and so much more? Thankfully, now you do. Explore the news and articles about these topics on Twitter now.


#DailyBrainCandiii and #WeekliiiRoundUp are inspired by brain candiii, a division of Integrated Informatics that develops Geographic Information System (GIS) training for Energy and Natural Resources professionals.


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