The difference between AI and ML – Lesson Preview
Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably, but they mean very different things and knowing the difference is very important if you want to use them effectively in SEO. In this lesson, you’ll learn how AI functions as the broad umbrella of intelligent systems, while machine learning is the focused area that powers predictions from data.
The session explains how AI systems like self-driving cars, Alexa, or even Google Search combine multiple machine learning models, rule-based logic, and hardware to appear intelligent. Then, it dives into how machine learning stands apart: training models to make specific, data-driven predictions such as classifying spam, identifying content types, or powering generative models like ChatGPT.
By understanding these distinctions, you’ll be equipped to set realistic expectations for automation, communicate more clearly with stakeholders, and search for the right tools and solutions in your SEO workflows.
What you’ll learn (why it matters)
- Differences Between AI and ML — because clarity helps you find the right solutions.
- ML’s role in SEO — because practical tasks depend on predictions.
- Spot hype vs reality — because precise language prevents false expectations.
- Contextualize Generative AI — because LLMs are only one small piece.
- Use of correct terminology — because it strengthens stakeholder communication.
Key concepts (with mini-definitions)
- Artificial Intelligence (AI) — systems designed to appear intelligent and mimic human behavior.
- Machine Learning (ML) — a subset of AI where models learn from data to make predictions.
- Generative AI — ML models that predict and generate new outputs, like text or images.
- Deep Learning — a subfield of ML using neural networks for unstructured data like text/images.
- Data Science — a broader field combining statistics, visualization, and analysis, overlapping with ML.
- AI Winter — periods of slowed AI progress due to limited tech and unmet expectations.
Tools mentioned
Google BERT, Google MUM, Google Gemini and Google Search ranking system.
Practice & readings
- Reading: What is an AI Winter and is one coming? by Lazarina Stoy.
- Reading: How Google Search Works by Mario Fischer (Search Engine Land).
- Reading: A Guide to Google Search Ranking Systems
Key insights & takeaways
- AI is an umbrella; ML is a subset focused on predictions.
- Generative AI is just one area of ML.
- Google Search is an example of a full AI system combining ML models.
- Clarity on AI vs ML empowers better automation choices in SEO.
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