Early in my career I believed that Tech Writers were a interface role to Marketing and Sales. As a product focused developer, I didn’t understand the true value of Tech Writers beyond cleaning up content to make it customer friendly as in the places where[...]

Sandy was a brilliant kid. School was a matter of course for her, she got mostly As without any major effort. What made Sandy special though was her affinity for music, and she truly loved it and it came to her naturally. Even as a middle schooler she wou[...]

The rise of tooling for vulnerability detection combined with pressure driven by Vendor Due Diligence is causing a massive enterprise freezeout for non-mainstream technologies across the board. Of particular concern is the impact this will have on the ado[...]

There is some controversy as to when Scrum was invented, but many attribute it to Hirotaka Takeuchi and Ikujiro Nonaka in 1986. While still new and cutting edge to many companies this 30 year old process has it’s fair share of both proponents and opponent[...]

There is some controversy as to when Scrum was invented, but many attribute it to Hirotaka Takeuchi and Ikujiro Nonaka in 1986. While still new and cutting edge to many companies this 30 year old process has it’s fair share of both proponents and opponent[...]

It’s been a great year for F# with the blossoming of the fsharp.org working groups. It’s been amazing watching the community come together to form a movement outside of Microsoft. This is most certainly the long term future of F#, protected from the whims[...]

It’s been a great year for F# with the blossoming of the fsharp.org working groups. It’s been amazing watching the community come together to form a movement outside of Microsoft. This is most certainly the long term future of F#, protected from the whims[...]

I recently took a medium sized feature set with labels at work and ran it through some of the most popular machine learning platforms. The goal was to get a feel for each of them via the standard battery of regressions and evaluate each for use in further[...]

I recently took a medium sized feature set with labels at work and ran it through some of the most popular machine learning platforms. The goal was to get a feel for each of them via the standard battery of regressions and evaluate each for use in further[...]

In most software domains you can safely stick with one or two languages and, because the tools you are using are fairly easy to replicate, you’ll find almost anything you might need to finish your project. This isn’t true in data science and data engineer[...]