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Designing Machine Learning Systems Bookclub

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TL;DR

Goal for this book club

The ultimate goal for this reading club is to read the book Designing Machine Learning Systems in its entirety. By doing so, we will have learned a great deal about how to construct robust, performant, and scalable machine learning solutions to real world problems.

A not-so-distant secondary goal of this book club is to socialize; that is to meet new people, learn together, and have lots of fun while doing so! Meet people who enjoy learning and building, and the hope is that we can continue collaborating even after the completion of this bookclub (yes, sadly all good things must come to an end).

How this works?

For the next 3 months, we’ll be reading Designing Machine Learning Systems together (a chapter/week).

Weekly reading

A book/paper club only works if everyone reads the material. The expectation is that everyone will read the chapter of the week before the group discussion so that we can all contribute to the conversation.

Everyone is encouraged to post their reading progress and questions on the main bookclub channel.

Presentation Schedule

Date Chapter Group Number (Name) Links
Saturday, April 13, 2024 1 1 (Chad SHAPLV) SlidesYouTube
Saturday, April 20, 2024 2 6 (Pablo Discobar) SlidesYouTube
Saturday, April 27, 2024 3 7 (Team Q*) SlidesYouTube
Saturday, May 4, 2024 4 2 (MLOpers)
Saturday, May 11, 2024 5 5 (Rec5ys)
Saturday, May 18, 2024 6 412
Saturday, May 25, 2024 7 9 (TechWave)
Saturday, June 1, 2024 8 10 (ManifoldMinds)
Saturday, June 8, 2024 9 8
Saturday, June 15, 2024 10 3 (The Rule of Three)
Saturday, June 22, 2024 11 11 (TransferLearners)

Presentation Materials

The presentation slides will be uploaded to this github repo in slides/.

Other Info

TAs

Bookclub helpers are volunteers that will be helping Chip throughout the duration of the club on matters regarding to organization, operations, as well as helping groups prepare their content for their presentations.

  • Gopinchand: Fun fact: his group ranked 12 out of 26,000 teams in the Amazon ML challenge!
  • Hritik: Senior MLE at Etsy, specializing in recommender systems.
  • Andrei: Founding engineer at LlamaIndex. Active open source contributor! Fun fact: training for the Boston marathon.
  • Raksha: Research assistant at the University of Michigan. Currently working on Investigating the risk of deep fake generation.
  • Krishna: building conversation AI at AmEx. Thinking about can LLM agents really go autonomous and build their own societies as we see everywhere.

Discord

We use Chip's MLOps discord server as the main discussion forum for this bookclub. Join the server and check out the #designing-ml-system-bookclub public channel to follow along with the progress.

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