How to Build Google
You’re not afraid of a little math, are you? Understanding machine learning is the new mark of legitimacy for an advanced SEO, separating those who truly understand why what they’re doing works from those who are just trying to replicate what they read about on some blog or forum.
We’ve seen plenty of marketing-speak, hyperbole, and speculation in regards to “AI” and SEO. In this session, we’re going to explore machine learning from the practitioner’s perspective, looking at actual data and examples of machine learning in action to better understand its capabilities and limitations.
Follow in the footsteps of Google engineers as we put machine learning to work with examples from the development of CanIRank’s Ranking Probability score (the highest Google correlation of any metric in the SEO industry) and Growth AI’s automated evaluation of link opportunities.
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