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Hello Jekyll!

Hello and welcome to my new Research and DataScience portfolio page.

Update March 2021 I have now adopted the Chirpy theme.

On this site I’ll be posting links to projects, demo’s and training material on machine learning and data science, in addition to research article reviews and any other interesting updates. I already have lots of content in my various github repo’s, and this is my attempy to curate this and new work.

I have built this site using free hosting on github.io and the open source site generator Jekyll written in Ruby.

I chose Jekyll as it posts can be written in html or in markdown such as Jupyter Notebooks. Which is great if you create notebooks in R or Python. To add new posts you simply add a file in the _posts directory that follows the convention YYYY-MM-DD-name-of-post.markdown. Take a look at the source for this post to get an idea about how it works.

Jekyll also offers powerful support for code snippets:

def print_hi(name)
  puts "Hi, #{name}"
end
print_hi('Ben')
#=> prints 'Hi, Ben' to STDOUT.

Latex math:

\[P(A|B) = \frac {P(B|A)P(A)}{P(B)}\]

Jekyll also supports:

This post is licensed under CC BY 4.0 by the author.