ML

Paul Kinlan December 14 2022

I use logseq to journal what I learn and read. These are the wiki pages for my knowledge graph and are intended to just be bullet points that I use for further thinking and quick reference.

Things I need to research
- Neural machine translation with a Transformer and Keras | Text | TensorFlow
Project idea
- Links that look like Buttons
  - Prior research: Classify web page elements: An ML proof-of-concept | by Chang Xiao | Trakr | Medium
  - Code:
    - Find Pages that contain buttons SELECT page FROM 'httparchive.all.pages' WHERE date = "2022-07-01" and payload like '%<button%' and is_root_page = true LIMIT 1000
    - GitHub - PaulKinlan/button-and-link-scraper - something that will scrape pages to get some training data.
      - Find all the buttons for training
      - Find all the links for validation... Need to classify this properly as there are things that look like buttons.
Useful links
- Build convolutions and perform pooling | Google Developers

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I lead the Chrome Developer Relations team at Google.

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Our team tries to make it easier for developers to build on the web by supporting every Chrome release, creating great content to support developers on web.dev, contributing to MDN, helping to improve browser compatibility, and some of the best developer tools like Lighthouse, Workbox, Squoosh to name just a few.

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