eugeneyan / applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

👋 Hi, I'm Eugene Yan

I design, build, and operate machine learning systems that serve customers at scale. Currently, I'm a Senior Applied Scientist at Amazon helping users read more, and get more out of reading. Outside of work, I also...

• Write, speak, and prototype on ideas in machine learning, RecSys, and LLMs.
• Curate papers, guides, and interviews on applying machine learning effectively.
• Host monthly ML meetups and a weekly LLM reading group with practitioners.
• Send a newsletter about data, ML, and what I'm learning to 6,300+ subscribers.
• In 2024 I'm learning: Synthetic data, application evals, and scaling ML teams.
• Fun fact: I don't use the QWERTY keyboard (I use Dvorak instead).

📝 Recent Writing

• Building an AI Coach to Help Tame My Monkey Mind - Sun, 07 Apr 2024
• LLM Task-Specific Evals that Do & Don't Work - Sun, 31 Mar 2024
• Don't Mock Machine Learning Models In Unit Tests - Sun, 25 Feb 2024
• How to Generate and Use Synthetic Data for Finetuning - Sun, 11 Feb 2024
• Language Modeling Reading List (to Start Your Paper Club) - Sun, 07 Jan 2024

View the archives (182 posts) @ eugeneyan.com.

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applied-ml's Issues

Easier ways to get started in recommendation algos?

This is treasure! Thanks for collecting and sharing them across. I'm new to the world recommendation algorithms and have a basic understanding of common systems out there. These are certainly cutting edge. However, I find it hard to start or understand from these papers. Are there any video links explaining these or conference talks for the same?

NLP Pipeline Books

Please add NLP pipeline book.

New

AppliedMl

Applied

Stitchfix

Request to add new article in Search section

This article seems relevant under Search section -
https://github.blog/2023-02-06-the-technology-behind-githubs-new-code-search/

my learning for ML

Test please ignore

.

Hey friend

I have a code that could use some machine learning. If you know anything about DNA

Devotional-Peacekeepers/DNA#1

Md Samaun

Papers and blogs by companies leveraging data science for decision making.

H

Mixed messages

https://cash.app/$ttayllormoon

Applied ML

Collection

Paper aplicaciones data science

Ml

Is there any resource on market basket analysis?

There's no doubt this is one of the best resources on applied ML. Market basket analysis is one of the key things in business. But using association rules on the datasets fails due to huge frequent itemset generations. Are there any resource here or your suggestions on it?

Duplicated resource

Hi (:
First of all, thank you so much for gathering all this intel.

Just opening a very simple issue: on the Data Discovery section of the README file, there are two identical resources, cf. items 10 & 18 on the rendered blob. The only difference is that one of them also includes a link to the corresponding repo.

Here's a screenshot, showing that the URLs are the same:

Ml

Negative balance, gas leak.

https://cash.app/$ttayllormoon

Thid

https://cash.app/$ttayllormoon

Adding year of publication to the papers/blogs

Do you think having the year of publishing can be a good idea to have along with the names of the articles/papers? It can help understand the recency of articles and also the trend the industry is taking.

It would take a lot of time given the number of articles 😅 , but I can take it up if you are interested.

privacy preserving machine learning

It would be great if we can add a privacy-preserving machine learning section as well.