ai-agent

Applied-ML: Production Insights

Name: Applied-ML: Production Insights
Author: eugeneyan

Get data science and machine learning production insights from top companies, for startup founders, with 30k+ GitHub stars.

intermediate⏱ 30 minutes💵 Free

30,079 stars3,991 forksHealth Score 9/10Updated 7/18/2024100% free · open source

What it is

Reads and shares papers by companies about data science and machine learning.

What you can make with it

Your own in-depth guides to data science and machine learning in production, using insights from real companies.

How it helps

Helps you stay up-to-date with the latest advancements in data science and machine learning, and understand how companies apply them in production.

Real use case example

"A founder needs to implement a recommendation engine for their e-commerce site. They browse through papers on applied machine learning, note the key techniques, and use them to build their engine."

If you're new

Pick this up when you first start exploring data science and machine learning concepts.

If you're senior

Use this when you need inspiration or insights on complex data science or machine learning projects.

Common confusion cleared up

This skill does not provide a direct AI model or toolset, but rather shares insights and papers on data science and machine learning in production.

Best inside these AI tools

Any AI Client

Pairs with

Claude APIStripe webhookNotion database

Why we list it on WorkflowStacks: A marketplace of AI tools that offers free and open-source access to papers and tech blogs on data science and machine learning.

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

Saves to your device

Topics

applied-data-science

applied-machine-learning

computer-vision

data-discovery

data-engineering

data-quality

data-science

deep-learning

machine-learning

natural-language-processing

production

recsys

reinforcement-learning

How Applied-ML: Production Insights works

Codeflow

Free to inspect

Applied-ML: Production Insights is a documents-only repository (2 doc files) — something you read, not something you run. There is nothing to install. Last commit 26 months ago, MIT license.

Size

Documents only

2 documents · 23 min skim

Setup

Nothing to install

A guide / curated list. Just read it and follow the links.

Runs on

Nowhere — you read it

A reading resource, not a program.

Where to start reading