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Submissions Guidelines




Guest Blogs

We write about AI, Big Data, Data Science, and Machine Learning, and look for a few high quality blogs to bring to our 600,000 monthly visitors and 270,000 subscribers and followers. Our readers are mainly Data Scientists and Machine Learning Engineers who want to improve their Data Science and Machine Learning skills. We accept only a small fraction of all submissions, with preference given to most interesting, original, technically sound blogs, supported by references and having good images / data visualizations.

Please email relevant submissions in Microsoft Word, HTML, or plain text format, to submissions and follow submission guidelines below.

Submission guidelines

We look for technical and original content, which have some interesting takeaways ("nuggets"). The submission should have a few relevant and interesting images or data visualizations.

We expect an opinion to be supported by facts, links, and references. A submission without at least 3 external supporting links or references will be rejected.
Links in author bio or to author company do not count.

A technical blog should not promote one particular product. It is fine to mention your product, but if you do, you should also mention 3 or more similar products/solutions.

See recent examples at our Opinions or Tutorials pages and most popular content at Top stories.

A typical guest blog is 300 to 1000 words, with 2-3 interesting images up to 700x500 pixels, each image file size less than 100 KB. We do not recommend larger images since they slow down the page loading.

Also please provide
  • a suggested summary (~ 2 lines, up to 200 characters including spaces),
  • 4-5 suggested Tags (see current KDnuggets tags)
  • a brief author bio and author URL


Code

For code, please wrap all pre-formatted code segments in <pre></pre> tags. Alternatively, use Github gists for code hosting, and include the gist URL in your submission where appropriate, and we can embed the code in your post.

Equations and Math

For equations, you can use a service for formatting and displaying LaTeX. It works by making an API call with the formatted LaTeX, which is then returned as an image. A call is wrapped in an tag, and looks like this:

<center>
<img alt="Equation" 
src="https://latex.codecogs.com/gif.latex?\mathbf{**LATEX_CODE**"}>
</center>

For example Latex code U^{\pi }(s) produces
Equation

You can also go here to do online equation editing. For more complex equations you can do screen capture and include those as images.

KDnuggets reserves the right to edit all submissions for length and to correct errors/typos.

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