Like your recommendations on task-specific fine-tuning with labelled examples. Question on search performance... What about smart pre-binning the D-dim vector space to index the search? Normalize values and reduce float precision to K digits. You would have N = K**D bins. Hmmm...

Here is a tweet that I just posted... Carlos at @IntuitMachine posted an 'insightful' article that deepened my understanding of self-supervised learning. And, the KICKER was the last sentence!

Teaser!!! So, what would be the subsequent concepts or issues to be addressed with Representation Learning? Where to go for more current, high-level RL directions? I liked the figure showing RL as a precursor to actionable models. IOW, understand the data before taking action based on that data. DUH...

Like driving up a mountain pass, Business Analytics evolves mostly upward, but with unexpected shifts in thinking and sudden twists in technology. In this article, two recent events provide clues about the shifts & twists, plus when we might summit this mountain pass. …

As companies embrace AI in their business, they are confronting the technologies of Deep Learning systems at scale. That is like entering a dark massive cave — wonderment and excitement, along with the fear that you have no clue what you are getting into! Mostly Clueless in IT To a colleague, I recommended the…

At the IEEE VIS 2018, researchers from diverse universities presented a paper describing a new toolkit for rapid deployment of immersive data visualizations, called DxR (Data visualization in miXed Reality). [1]

As an industry analyst, I listen to numerous vendor briefings. As is increasingly common in these briefings, vendors use the acronym AI frequently and casually to describe various capabilities of their products or services. In a recent briefing, this practice was particularly obvious with a major vendor. Their phrases were…

TL;DR — see Summary at end for quick overview. This article is the second in a series about the Managerial Perspectives on Deep Learning, which are targeted toward managers who are responsible for or involve with analytical systems enabled by Deep Learning (DL) using artificial neural network technology. They faced…

This article is the first in a series about the Managerial Perspectives on Deep Learning, which are targeted toward managers who are involve with or responsible for analytical systems enabled by Deep Learning (DL) using artificial neural network technology. They faced confusing concepts and unique challenges when dealing with these…