Tag Archives: machine learning

The New Wave of Machine Learning

October 12, 2017

In the last few years, analytics has evolved significantly. We’ve moved from the adoption of big data technology that was all about Hadoop and Spark, to an increased focus on machine learning algorithms, deep learning and artificial intelligence (AI). In the last year alone, I’ve noted a renewed hype around machine learning, which together with the… Read More »

Survey: State of Artificial Intelligence for Enterprises

October 11, 2017

Artificial intelligence will have a profound impact on our lives and work. Soon it will be everywhere, from our homes to our cars to our offices. Many believe it will cause a massive displacement of jobs. Others argue that it will enhance our decision-making and make us smarter. But, what do business executives at some… Read More »

The Tree of Machine Learning Algorithms

October 10, 2017

The Tree of Machine Learning Algorithms is a simplified schema to rationalize the types of learning paradigms used by categories of algorithms. Just as a tree’s branches grow stronger and wider with an expansive network of roots, the machine learning tree is strengthened using a network of data. Data can be structured or unstructured, involve transactions… Read More »

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 »

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 »