ai-agent

Applied ML

Name: Applied ML
Author: eugeneyan

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

29,655 stars3,929 forksUpdated 7/18/2024100% free · open source

What it does

Applied-ml is a collection of papers and tech blogs from companies showcasing their data science and machine learning work in production, providing insights and knowledge for startups to learn from.

Install / run

Clone the repository using the command `git clone https://github.com/eugeneyan/applied-ml.git`

When to use it

•When researching how to apply machine learning to a specific business problem
•When looking for inspiration and examples of real-world machine learning applications
•When trying to stay up-to-date with the latest developments and advancements in the field of machine learning

Quick start

1Explore the repository by navigating to the cloned directory using `cd applied-ml`
2Open the `README.md` file to get an overview of the collection and its contents
3Browse through the various subdirectories, such as `companies` and `papers`, to find relevant resources
4Use the `README.md` file as a starting point to discover new companies and research papers
5Search for specific topics or keywords within the repository using `grep` or a similar tool

Ready-to-paste prompt

Search for papers related to natural language processing using `grep -r 'natural language' *` within the repository

Heads up: The repository is a collection of external links and resources, so be aware that some links may be broken or outdated, and it's essential to verify the information and sources before using them

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