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Jesse Williams for KitOps

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A Guide to Machine Learning System Design and Best Practices

Hey all, as a company that creates dev tools for AI/ML projects, we spend a ton of time helping our users with the more basic aspects of designing, building, and deploying their applications.

After going through this a few (hundred?) times, we decided to create a guide to machine learning system design and make it available to everyone.

This guide covers the following:

  1. Setting up your machine learning development environment

  2. Preparing, processing and working with machine learning data

  3. Selecting features and predictors for your machine learning model construction

  4. Tools for developing your machine learning system

  5. Utilities for your machine learning system

  6. Testing your machine learning application

  7. Project reproducibility and version control

8.Getting to production

One note, it is gated with just email, as we don't want it scraped

You can access the full guide here https://learning.jozu.com

Top comments (4)

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anna_lapushner profile image
anna lapushner

Thank you for this post! This is top client ask today... please clarify best practices..

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sc0v0ne profile image
sc0v0ne

I liked the explanation, several interesting points. I miss the full content within the post, instead of leaving the page I'm on to see on another platform.

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jwilliamsr profile image
Jesse Williams

Unfortunately, it's a lot of text (like 15 pages!)

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sc0v0ne profile image
sc0v0ne

It would be very useful, besides creating 15 new posts, to draw more attention from Dev.To readers.