Year: 2019

Machine Learning in R: Start with an End-to-End Test

As a data scientist, you will likely be asked one day to automate your analysis and port your models to production environments. When that happens you cross the blurry line between data science and software engineering, and become a machine learning engineer. I’d like to share a few tips we’re exploring at Expedia on how […]

Connecting to SQL Server from R on a Mac with a Windows domain user

Connecting to an SQL Server instance as a Windows domain user is relatively straightforward when you run R on Windows, you have the right ODBC driver installed, and your network is setup properly. You normally don’t need to supply credentials, because the ODBC driver uses the built-in Windows authentication scheme. Assuming your odbcinst.ini file includes […]

Notes from the “Learning How To Learn” course

“Learning How To Learn” (LHTL), an online course freely available on Coursera, teaches techniques for becoming a better learner and thinker. Given by Dr Barbara Oakley (McMaster University) and Dr Terrence Sejnowski (University of California San Diego), the course covers the latest on how the brain works and suggests practices to make the best it. […]

Why I (still) use C++

When I joined Neurobat in 2010, the company’s vision was to develop an add-on component that would compute optimal setpoints for your heating system. Such a device had to be small, cheap, and run reasonably fast. That ruled out modern embedded PCs that nowadays can comfortably run Python; the entire application, including the “smart” model-predictive […]

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