Opinions About Machine Learning for SEO | Opinionated SEO Opinions
Update: 2022-11-14
Description
In this episode of Opinionated SEO Opinions, we are joined by Lazarina Stoy (https://twitter.com/lazarinastoy, https://lazarinastoy.com), the queen of Machine Learning for SEO.
Lazarina helps us shed light on how machine learning models can be used for SEO tasks, how to choose the best model for a particular use case, how AI and ML are different, and more. Give this exciting episode a listen and submit your SEO questions at https://thegray.company/ask-seo-questions to get them featured on our next episode with a shout-out.
02:34 What's the difference between machine learning (ML) and artificial intelligence (AI)?
11:45 How do you choose the right machine learning models for specific SEO tasks?
18:26 How can we use machine learning to find schema types for a website & implement them? From Lidia Infante, Senior SEO Manager at Sanity.io (https://twitter.com/LidiaInfanteM)
25:47 How can we easily use machine learning for redirect mapping in SEO? From Anett Pohl, Senior SEO Manager at Aroundhome (https://twitter.com/stress_particle)
27:40 How can we use machine learning to identify, generate and answer FAQs? From Anett Pohl, Senior SEO Manager at Aroundhome (https://twitter.com/stress_particle)
34:42 How much time do you spend building and testing machine learning models vs. evaluating the output?
Here are some useful links related to this episode:
Haystack- open source NLP framework: https://github.com/deepset-ai/haystack
Schema App: https://www.schemaapp.com/
How WordLift uses GPT-3 in terms of generating descriptions for products: https://wordlift.io/it/academy-entries/transformers-seo/
Jarvis: https://jarvisml.com/
GPT-J: https://huggingface.co/docs/transformers/model_doc/gptj
The big discussion on how fast legislation is moving in relation to the developments in machine learning: https://arxiv.org/pdf/2011.09926.pdf
This episode contains special shoutouts to Lee Foot (https://twitter.com/leefootseo), Danny Richman (https://twitter.com/DannyRichman), Greg Bernhardt (https://twitter.com/GregBernhardt), Francis Angelo Reyes (https://www.linkedin.com/in/fa-reyes/), and Andrea Volpini (https://twitter.com/cyberandy) for their contributions to the industry on machine learning and AI.
Don’t forget to follow TGDC on LinkedIn (https://www.linkedin.com/company/graydotco/) and Twitter, and reach out to further discuss what we covered!
Tory Gray (https://twitter.com/torylynne)
Sam Torres (https://twitter.com/samtorresatl)
Begum Kaya (https://twitter.com/begumkayaseo)
Gray Dot Co (https://twitter.com/graydotco)
#SEO #DigitalMarketing #SEOAMA #MachineLearning #ML #AI #AIContent
Lazarina helps us shed light on how machine learning models can be used for SEO tasks, how to choose the best model for a particular use case, how AI and ML are different, and more. Give this exciting episode a listen and submit your SEO questions at https://thegray.company/ask-seo-questions to get them featured on our next episode with a shout-out.
02:34 What's the difference between machine learning (ML) and artificial intelligence (AI)?
11:45 How do you choose the right machine learning models for specific SEO tasks?
18:26 How can we use machine learning to find schema types for a website & implement them? From Lidia Infante, Senior SEO Manager at Sanity.io (https://twitter.com/LidiaInfanteM)
25:47 How can we easily use machine learning for redirect mapping in SEO? From Anett Pohl, Senior SEO Manager at Aroundhome (https://twitter.com/stress_particle)
27:40 How can we use machine learning to identify, generate and answer FAQs? From Anett Pohl, Senior SEO Manager at Aroundhome (https://twitter.com/stress_particle)
34:42 How much time do you spend building and testing machine learning models vs. evaluating the output?
Here are some useful links related to this episode:
Haystack- open source NLP framework: https://github.com/deepset-ai/haystack
Schema App: https://www.schemaapp.com/
How WordLift uses GPT-3 in terms of generating descriptions for products: https://wordlift.io/it/academy-entries/transformers-seo/
Jarvis: https://jarvisml.com/
GPT-J: https://huggingface.co/docs/transformers/model_doc/gptj
The big discussion on how fast legislation is moving in relation to the developments in machine learning: https://arxiv.org/pdf/2011.09926.pdf
This episode contains special shoutouts to Lee Foot (https://twitter.com/leefootseo), Danny Richman (https://twitter.com/DannyRichman), Greg Bernhardt (https://twitter.com/GregBernhardt), Francis Angelo Reyes (https://www.linkedin.com/in/fa-reyes/), and Andrea Volpini (https://twitter.com/cyberandy) for their contributions to the industry on machine learning and AI.
Don’t forget to follow TGDC on LinkedIn (https://www.linkedin.com/company/graydotco/) and Twitter, and reach out to further discuss what we covered!
Tory Gray (https://twitter.com/torylynne)
Sam Torres (https://twitter.com/samtorresatl)
Begum Kaya (https://twitter.com/begumkayaseo)
Gray Dot Co (https://twitter.com/graydotco)
#SEO #DigitalMarketing #SEOAMA #MachineLearning #ML #AI #AIContent
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