Zank

Hackathons are good for your team. A well-run hackathon can provide myriad benefits: opportunities for blue-sky thinking, cross-functional engagement, and the most important, moments of fun and play. Yes, play, that same feeling you got when you turned the corner…

Subscription services have seen tremendous adoption and growth, with more than 15% of online consumers saying they’ve tried or are currently using one or more subscriptions. Valuations for startups are soaring into the billions for companies like FabFitFun, and, before…

In just over one week, I’ll be speaking at the TDWI conference here in San Diego. It’s more of a training event than it is an opportunity to present new work or white papers. And this really excites me. It…

Good morning. Andrey and David here, filling in this week for Zank. Today, we're unveiling the newest version of our travel web app, affectionately called TRECS, short for “travel recommendations”. How does it work? Start by entering one of nearly 10,000 places…

Transfer learning is helping companies to bring powerful predictive models to market in a fraction of the time and money once required. Let's dive in and look at this transformative technology. Transfer learning involves using a model trained for one specific…

The week, we dive into onboarding - what it is, who needs it, why it's so important and some A.I. use cases. What is onboarding? Onboarding is usually the first interaction an e-commerce company has with its clients. It’s the let’s get…

Zank here from Bennett Data Science. A.I. is transforming business today and will continue to do so over the coming years. But many companies struggle to realize benefits of the data they capture. Are you interested in keeping up with…

A.I. is transforming business today and will continue to do so over the coming years. But many companies struggle to realize benefits of the data they capture. Are you interested in understanding how A.I. can impact your business? That’s exactly…

One of the most enjoyable feelings I experience as a Data Scientist is watching the error rates fall as I work on my modeling projects. Iteratively increasing classification accuracy through feature engineering or decreasing mean squared error of a regression…