Tag Archives: deep learning

Unchartered Waters: Machine Learning in Geoscience

July 14, 2017

I’m still riding the tide of new information that swept over me at this year’s EAGE (European Association of Geoscientists and Engineers) conference in Paris last month. This wave of change was obvious for those that looked, but many still didn’t see it for what it is: the future. I’m talking about machine learning (ML)… Read More »

Maybe You Can’t Machine Learn Everything – But does that mean you shouldn’t try?

July 10, 2017

  I just got back from the EAGE, the 79th annual European conference and exhibition for Geoscience and Engineering. But what I actually want to tell you about is what I did on the weekend before the conference started. A few of us from Teradata joined a slightly more recent tradition – the Subsurface Hackathon… Read More »

Deep Learning: New Kid on the Supervised Machine Learning Block

June 27, 2017

In the second instalment of this blog, we introduced machine learning as a subfield of artificial intelligence (AI) that is concerned with methods and algorithms that allow machines to improve themselves and to learn from the past. Machine learning is often concerned with making so-called “supervised predictions,” or learning from a training set of historical… Read More »