Some very useful materials from Data Science Central are provided by Ties de Kok. (Live links are in the attached pdf below)
Examples include
This article provides a quick overview of the various types of NLP machine learning. Might be insightful if one wants to get a better understanding of the various options that are out there when it comes to classifying text documents.
This article describes the core steps of training a machine learning algorithm using the “sklearn” Python package which is arguably the most popular ML package out there. It is not very comprehensive but it is a good first read.
The question “which language should I use” tends to come up quite frequently, this article discusses this question from the perspective of machine learning. This is obviously not a black-and-white choice but at least it provides some discussion.
There are many different machine learning algorithms out there, so it might be a bit difficult sometimes to grasp the intuition of each of them. This article does quite a good job explaining the most popular algorithms.
Sometimes you need to run code that requires a more powerful system, or that requires longer run-times. For people that don’t have access to remote computing facilities it might be an interesting option to use Google Colaboratory as a free alternative. This article explains what it is and how you can use it.
6) https://www.bigdatanews.datasciencecentral.com/profiles/blogs/to-index-data-is-to- sort-data
The website reports useful information about machine learning. Ties has picked some selected articles for your perusal.
