‘An experiment in trying to predict Google rankings’ – Search Engine Land
JR Oakes says, “Machine learning is quickly becoming an indispensable tool for many large companies. Everyone has, for sure, heard about Google’s AI algorithm beating the World Champion in Go, as well as technologies like RankBrain, but machine learning does not have to be a mystical subject relegated to the domain of math researchers. There are many approachable libraries and technologies that show promise of being very useful to any industry that has data to play with.
Machine learning also has the ability to turn traditional website marketing and SEO on its head. Late last year, my colleagues and I (rather naively) began an experiment in which we threw several popular machine learning algorithms at the task of predicting ranking in Google. We ended up with an assembly that achieved 41 percent true positive and 41 percent true negative on our data set.
In the following paragraphs, I will take you through our experiment, and I will also discuss a few important libraries and technologies that are important for SEOs to begin understanding.
Our experiment
Toward the end of 2015, we started hearing more and more about machine learning and its promise to make use of large amounts of data”.
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