Introduction to Machine Learning for SEOs (E-Book) — by Lazarina Stoy

Introduction to Machine Learning for SEOs is the beginner-friendly field guide that shows you exactly where machine learning helps your everyday SEO work — which technique fits which problem, and how to run each one yourself. No PhD, no heavy maths, and far more than just ChatGPT.

Written by Lazarina Stoy (ML & SEO consultant and founder of MLforSEO), this 235-page e-book distils the full Introduction to Machine Learning for SEO course into eight modules and 36 chapters — each with clear takeaways and a hands-on exercise.

You’ll work through five core techniques end to end: classification (search-intent and content tagging), clustering (keyword grouping and topic modelling with KeyBERT, LDA and BERTopic), entity extraction & analysis (topical authority and internal linking), fuzzy matching (404 & redirect mapping and competitor content-gap analysis), and content transformation (turning one asset into blog posts, social, newsletters and shorts with GPT, MCPs and agentic workflows).

Every resource featured in the book — 30+ templates, Colab notebooks, no-code Google Sheets tools, Looker Studio dashboards and checklists — is included with your purchase, delivered through a companion Resource Library in your MLforSEO Academy account.

Format: instant PDF download. Delivered via MLforSEO Academy.