Blog archive, page 87

We recently caught up with Sean McClure PhD, Sr. Data Scientist at Thoughtworks. Sean, firstly thank you for the interview. Let's start with your background and how you became interested in data science.

This post provides a brief history lesson and overview of deep learning, coupled with a quick "how to" guide for dipping your toes into the water with H2O.ai. Then I describe how Domino lets us easily run H2O on scalable hardware and track the results of our deep learning experiments, to take analyses to the next level.

Contributed by John King and Roger Magoulas

Domino provides a great way to iterate on analytical models by letting you run many experiments in parallel on powerful hardware and automatically track their results. Recently we added two powerful new features to make that workflow even easier: Run Comparisons and Diagnostic Statistics.

We recently caught up with Claudia Perlich, Chief Scientist at Dstillery. Prior to joining Dstillery, she won a number of data mining competitions, as well as several awards from industry and academia.

“Buy vs build”, “not-invented-here syndrome” and even “invented-here-syndrome” have been written about extensively. I want to share a few reflections on the topic, based on my observations both as an engineering manager (where I had to decide whether to build or buy solutions) and more recently as a founder selling a platform to other companies.