TLDR: Get paid to write articles about machine learning, data science, and more — up to $200 per article.
At Paperspace we are working to build out a new community resource to help people learn more about ML and related topics. We want to provide a valuable platform and combine that with the tools and resources needed to develop and run complex machine learning applications in the cloud.
If you have been following this blog we have some amazing posts on everything from style transfer to adversarial autoencoders with pytorch. As we continue to grow this repository of information we are eager help the ML/AI/Data science community coalesce around best practices, new methodologies, techniques used by professionals and practitioners to solve real problems.
In particular, we are looking for articles on such topics as:
- Framework comparisons
- Tooling setup
- Beginner / Getting started guides
- Data handling
- Toolset overviews
- Profiling / Benchmarking writeups
- Technical deep-dives
- Tools / techniques
The requirements are pretty straight-forward. The article should :
- be clear, well thought-out, and technically correct
- include all code snippets / screenshots / graphs / etc in (.png format or similar)
- have correct spelling & grammar
Depending on complexity and length, each article will receive $100-$200. Shoot us an email at firstname.lastname@example.org and be sure to include a brief intro, your topic proposal (with a title and short outline), as well as a writing sample of your choosing.