There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago

Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago

It has, but it wasn't adopted by the pragmatists in that time. It's hard to tell if the early adopters adopted it either - It doesn't show up at all in the 2023 stack overflow survey (nor in the previous two years) - https://survey.stackoverflow.co/2023/#technology-most-popular-technologies - It doesn't show up in questions asked on Stackoverflow since 2008 -... - Source: Hacker News / 7 months ago

> In 2017 I had React projects in production for years. I doubt that. React wasn't stable until 2015, and wasn't mainstream until 2016. > And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are faster than React out-of-the-box. Again, Next.js != React; the former builds on the latter, it doesn't replace it nor does it claim to be the same... - Source: Hacker News / 8 months ago

> Prior to Next.js, React was hard to setup and maintain No, it wasn't. > I started using Next.js in 2017. It made React a real production framework In 2017 I had React projects in production for years. > React was hard to setup and maintain and hard to make it go fast (on first load) And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are... - Source: Hacker News / 8 months ago

Based on what? https://insights.stackoverflow.com/trends?tags=python%2Cjava. - Source: Hacker News / 10 months ago

Fair enough, my information is outdated. StackOverflow agrees. [1] [1] https://insights.stackoverflow.com/trends?tags=django%2Cruby-on-rails. - Source: Hacker News / 10 months ago