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Build a list of recent blog posts in computer science that deal with time series data. Please build a simple spreadsheet that has for each source the title, type (blog post), summary, and link. Please aim for about 50 blog posts (volume is more important than quality)
A list of recent (before 2010) blog posts in computer science that relate to time series data have been found, and are included in the requested spreadsheet. Title, URL, and a brief summary of the blog contents are also included. Machine Learning Mystery proved to be a very useful source for information regarding time series data, and a common theme in blog topics surrounded the use of the data for predicting future outcomes, as well as numerous training blogs. For reference, the 50 blog titles are below as well.
TIME SERIES BLOGS INCLUDED IN REQUESTED SPREADSHEET
14 — How to Convert a Time Series to a Supervised Learning Problem in Python — Machine Learning Mastery
SUMMARY
In all, the time series blogs that are included focus on numerous ways to analyze and use the data. Many discuss predicting behaviors over time, as well as key learnings you can gain throughout the process.