Skip to content
/ blog Public

Machine Intelligence Blog (MIB) | Up & running with machine intelligence.

License

Notifications You must be signed in to change notification settings

semasuka/blog

Repository files navigation

Machine Intelligence Blog (MIB)

blog landing page

Machine Intelligence Blog (MIB) is your companion blog to get you up and running with machine learning and data science. On this blog, I will cover topics in the machine learning field ranging from maths, programming, algorithm optimization and data analysis.

Getting Started

If you are interested in using this blog to build your blog or simply contribute, you will need to install some tools on your machine.

Prerequisites

To run this blog on you locale machine, you will need to install Jekyll, kindly refer to the installation process on the official website of jekyll here.

Sometimes it can be hard to know if jekyll is installed, to check if it is successfully installed run this command

    jekyll -v

if successfully installed you will get

    jekyll X.X.X

here the x.x.x is the version of jekyll, and if you get this error

bad interpreter: No such file or directory

it means that jekyll is not installed and this is probably due to the fact one or more of the dependencies to install jekyll was not installed. Kindly refer to this manual to fix the issue.

Run

After this, you will clone this repo(or download it) then using the command line, navigate to the root directory and input this for the first time

    bundle exec jekyll serve

to run jekyll after the first time, simply use

    jekyll serve

now you shall access to the blog at 127.0.0.1:4000 (or http://localhost:4000).

Customize

In order to customize this blog as you wish, you can clone this repo and for the documentation please refer to the official theme github page here.

Deployment

To host your jekyll blog to github page, use this tutorials.

Built With

Authors

  • semasuka - author and designer of the blog.

  • mmistakes - initial jekyll theme creator.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Releases

No releases published

Packages

No packages published