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10 Authors You Should Follow For Solid Data Science Experience
These authors write clearly, provide reproducible code/examples, and describe novel methodologies
Did you just come across Medium in your data science journey? Or are you a stalwart who has been on the platform since the old M logo with hundreds of saved (and unread) articles? Either way in this work, I highlight some writers you absolutely must follow. Be sure to read some of their past works to improve your own skills as a data scientist. Some authors write broadly about data science, whereas others are focused on niche topics. All these authors release high quality work with reproducible code examples and novel methodologies. I have included each author’s first work as a hyperlink when they started on the platform. This way you can see the progression of an individual’s writing style and the increasing complexity of topics that accumulates through experience.
Number 1:
Susan Li is a Medium dynamo. She has amassed more than 24K followers since her start on the platform in July of 2017. Her niche is text based machine learning and analysis, however, she has many articles outside text based topics. Some popular articles are included below. Her entire catalog is excellent and worth checking out!
