This is one of the first comprehensive machine learning, data science, statistical science, and computer science repository -- featuring many brand new scalable, big-data algorithms published in the last two years, such as automated cataloging, causation detection, or model-free tests of hypotheses, in addition to the classics. The original title for this project was Handbook of Data Science, but over time, it grew much bigger than an handbook. This is still an ongoing project.
Time and budget permitting, we will turn it into an 10-volumes traditional encyclopedia, even available in print format. Contact us if you are interested in partnering with us as a blogger, scientific author, publisher, reviewer, editor, or sponsor. For now, here is an update about the progress on this initiative, and more specifically, what is currently available for you.
Also, if you only have time to read a few seminal articles written in simple English, visit this page (Hitchhiker's guide to data science, machine learning, R, and Python.)
Posted 1 March 2021
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