At Bennett Data Science, we’re seeing a lot more interest in A.I. lately. Especially since about June of this year. This week I’ll discuss why I think this is happening and how A.I. will be an even bigger differentiator to…
In today’s Tech Tuesday, I talk about ways to save money on data science and suggest three things you could do right now. I’m assuming the U.S. presidential election is likely garnering all of your attention. In light of that,…
Predictive models have been used for years to predict election outcomes well in advance. Looking back at what’s been done in the past, Allan Lichtman comes to mind as someone who stands out from the crowd. He developed a model…
Take a look at the title of this article by the Associated Press (link): “Britain’s missing 16,000 coronavirus cases thought linked to use of Excel spreadsheets for tracking”. And here’s why: "‘Glitch’ believed to be connected to ‘well-known’ file size…
On October first, Artificial Intelligence investors Nathan Benaich and Ian Hogarth released their State of A.I. report for 2020. It’s a massive collection (177 slides) packed with information about A.I., from defining what A.I. actually is, to uncovering what Google…
This week I watched the highly charged Netflix documentary The Social Dilemma, which explores the consequences of our growing dependence on social media. Here are a few quotes I typed as I watched: "We created a system that biases towards…
The number of Covid cases is up across Europe, while the US shows a downward trend. This might have been expected, given that social gatherings have been up in many areas of Europe. Croatia, for example, allowed tourists from around…
Building predictive models is tough. Not to do, but rather to do it right. Data science is a very complex subject, generally requiring years of education and practical experience to have a proper foundation. I’m pretty sure this isn’t new…
Job requisitions for the "sexiest job of the century” have fallen dramatically. In this week’s Tech Tuesday, I’ll look at why and what it means for companies either currently involved with data science initiatives or looking to jump in soon.…
As discussed in one of our previous Tech Tuesdays on Deployment, a successful data science project generally comprises twelve essential steps. And these twelve steps can be roughly divided into three stages. Here’s the one diagram I come back to…