Tag Archives: deep learning

Could the English language get any more confusing?

September 14, 2017

Did you know that the English language consists of over 200,000 words? Of these 200,000 words, many have the same meaning but different spelling (synonyms). Some words even have the same spelling but different meanings (homographs). Confusing, right? Let’s imagine you were talking to your colleagues about your recent trek to the coast and you… Read More »

Occam’s razor and machine learning

September 12, 2017

In the last instalment of this blog series, we discussed objectives and accuracy in machine learning. And we described two crucial tests for the utility of a machine learning model: The model must be sufficiently accurate and we must be able to deploy the model so that it can produce actionable outputs from the available… Read More »

Objectives and accuracy in machine learning

September 7, 2017

We get to go to a lot of conferences. And we’re always amazed at how many vendors and commentators stand up at events and trade shows and say things like, “The objective of analytics is to discover new insight about the business”. Let us be very clear. If the only thing that your analytic project… Read More »

The secret to AI in the Enterprise could be little-known transfer learning

August 29, 2017

Consumers have spoken — artificial intelligence is a profitable industry. From Amazon to Google to Apple, major tech companies have all made inroads, crafting intelligent software — housed in sleek, accessible hardware — that has gotten massive customer attention. This trend is set to soon move out of home devices, like Echo and Google Home,… Read More »

What today’s machine learning and AI is and is not

August 4, 2017

All artificial intelligence methods today are around machine learning modeling and use some form of sophisticated correlation or association method, which can be approximated to brute-force robot learning. It is about reverse engineering existing features/patterns and providing useful “forward engineering” solutions like: Self-driving cars Detecting diseases from X-rays/MRIs Robots in manufacturing Chatbots for customer service… Read More »

Deep learning for executives: The killer apps for deep learning

August 2, 2017

As deep learning grows in sophistication, it is time to integrate it into concrete business use cases. Deep learning, especially in the field of computervision, has gotten so good that it is ready for the global industrial stage. The amount of data produced every day sits around 2.5 exabytes, and businesses now equate parsing through… Read More »

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 »