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@decodingml

Decoding ML

Battle-tested content on designing, coding, and deploying production-grade ML & MLOps systems.

The hub for continuous learning on production-grade ML & MLOps systems


Welcome to Decoding ML

When ML production systems look encoded - we'll help you decode it.


Decoding ML is a publication that creates battle-tested content on building production-grade ML systems leveraging good SWE and MLOps practices.

Our motto is "More engineering, less F1 scores."

Following Decoding ML, you will learn about the entire lifecycle of an ML system, from system design to deploying and monitoring.

Decoding ML is the hub for continuous learning on:

  • ML system design
  • ML engineering
  • MLOps
  • Large language models
  • Computer vision

We are all about end-to-end ML use cases that can directly be applied in the real world โ€” no stories โ€” just hands-on content.

Why follow?

Join Decoding ML for battle-tested content on designing, coding, and deploying production-grade ML & MLOps systems. Every week. For FREE.

No more bedtime stories in Jupyter Notebooks.

โ†’ DML is all about hands-on advice from our 10+ years of experience in AI.


We are also on:

โœ‰๏ธ Newsletter

๐Ÿ–‹๏ธ Medium

๐Ÿฆ Twitter(X)

๐Ÿ“ฑ LinkedIn

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  1. articles-code articles-code Public

    ๐Ÿ’ป Decoding ML articles hub: Hands-on articles with code on production-grade ML

    Jupyter Notebook 116 18

  2. llm-twin-course llm-twin-course Public

    ๐Ÿค– ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป for ๐—ณ๐—ฟ๐—ฒ๐—ฒ how to ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ an end-to-end ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป-๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—Ÿ๐—Ÿ๐—  & ๐—ฅ๐—”๐—š ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ using ๐—Ÿ๐—Ÿ๐— ๐—ข๐—ฝ๐˜€ best practices: ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + 12 ๐˜ฉ๐˜ข๐˜ฏ๐˜ฅ๐˜ด-๐˜ฐ๐˜ฏ ๐˜ญ๐˜ฆ๐˜ด๐˜ด๐˜ฐ๐˜ฏ๐˜ด

    Python 3.1k 510

  3. personalized-recommender-course personalized-recommender-course Public

    ๐Ÿ‘• Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

    Jupyter Notebook 160 34

Repositories

Showing 5 of 5 repositories
  • llm-twin-course Public

    ๐Ÿค– ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป for ๐—ณ๐—ฟ๐—ฒ๐—ฒ how to ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ an end-to-end ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป-๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—Ÿ๐—Ÿ๐—  & ๐—ฅ๐—”๐—š ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ using ๐—Ÿ๐—Ÿ๐— ๐—ข๐—ฝ๐˜€ best practices: ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + 12 ๐˜ฉ๐˜ข๐˜ฏ๐˜ฅ๐˜ด-๐˜ฐ๐˜ฏ ๐˜ญ๐˜ฆ๐˜ด๐˜ด๐˜ฐ๐˜ฏ๐˜ด

    decodingml/llm-twin-courseโ€™s past year of commit activity
    Python 3,135 MIT 510 2 0 Updated Dec 26, 2024
  • personalized-recommender-course Public

    ๐Ÿ‘• Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

    decodingml/personalized-recommender-courseโ€™s past year of commit activity
    Jupyter Notebook 160 MIT 34 0 0 Updated Dec 26, 2024
  • information-retrieval-tutorials Public

    ๐Ÿ“š Tutorial on a tabular semantic search system for Amazon e-commerce products that enables natural language queries.

    decodingml/information-retrieval-tutorialsโ€™s past year of commit activity
    Jupyter Notebook 6 MIT 1 0 0 Updated Dec 20, 2024
  • articles-code Public

    ๐Ÿ’ป Decoding ML articles hub: Hands-on articles with code on production-grade ML

    decodingml/articles-codeโ€™s past year of commit activity
    Jupyter Notebook 116 MIT 18 0 0 Updated Nov 29, 2024
  • .github Public
    decodingml/.githubโ€™s past year of commit activity
    0 0 0 0 Updated Mar 20, 2024

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