Timeseries Analysis at Scale
This is a place to discuss and post about data analysis. Rules: - Career-focused questions belong in r/DataAnalysisCareers - Comments should remain civil and courteous. - All reddit-wide rules apply here. - Do not post personal information. - No facebook or social media links. - Do not spam. - No 3rd party URL shorteners
Time series Processing
This is a place to discuss and post about data analysis. Rules: - Career-focused questions belong in r/DataAnalysisCareers - Comments should remain civil and courteous. - All reddit-wide rules apply here. - Do not post personal information. - No facebook or social media links. - Do not spam. - No 3rd party URL shorteners
Orca - Timeseries Processing with Superpowers
News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.
Chicken pox in 3 month old
/r/daddit is now currently open
My Company's Hiring
Find a job as a software engineer today!
My Company is Hiring
News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.
Is AI changing the Buy vs Build tradeoff? Anyone seen good data or frameworks on this?
Our community brings together individuals driven by a shared commitment to problem-solving, professional networking, and collaborative innovation, all with the goal of making a positive impact. We welcome a diverse range of pursuits, from side projects and small businesses to venture-backed startups and solo ventures. However, this is a space for genuine connection and exchange of ideas, not self-promotion. Please refrain from promoting personal blogs, consulting services, books, MLMs, opinions.
Where's the Timeseries AI?
News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.
Where's the Timeseries AI?
A space for Enthusiasts, Developers and Researchers to discuss LLMs and their applications.
Gemini 2.0 is Out
Welcome to r/Rag, the community for everything Retrieval-Augmented Generation (RAG)! RAG combines retrieval systems with generative models to create more accurate responses, enhancing applications like customer support and research. Join us to discuss RAG techniques, projects, and tools. Whether you're a researcher, developer, or AI enthusiast, you'll find tips, tutorials, and support to innovate with RAG!
Sunday Roast
Post pictures of your food here. Other people will rate it! "Roast a toast, or even a roast! The reddit for food critique"
GitHub - Predixus/Go-Tiger-Style: Adaptation of Tigerstyle, for Golang
Ask questions and post articles about the Go programming language and related tools, events etc.
DynaRAG - A Fast RAG backend that forces you to focus on the chunks
Ask questions and post articles about the Go programming language and related tools, events etc.
DynaRAG - A Fast RAG backend that forces you to focus on the chunks
Welcome to r/Rag, the community for everything Retrieval-Augmented Generation (RAG)! RAG combines retrieval systems with generative models to create more accurate responses, enhancing applications like customer support and research. Join us to discuss RAG techniques, projects, and tools. Whether you're a researcher, developer, or AI enthusiast, you'll find tips, tutorials, and support to innovate with RAG!
You change an algorithm in production - now what?
## A subreddit to discuss and share data and datasets. If you have questions on anything data related or have interesting datasets, tutorials or findings please do post and make yourself at home
You change an algorithm in production - now what?
A space for data science professionals to engage in discussions and debates on the subject of data science.
You change an algorithm in production - now what?
A space for data science professionals to engage in discussions and debates on the subject of data science.
You Modified an Algorithm - Now What?
This is a place to discuss and post about data analysis. Rules: - Career-focused questions belong in r/DataAnalysisCareers - Comments should remain civil and courteous. - All reddit-wide rules apply here. - Do not post personal information. - No facebook or social media links. - Do not spam. - No 3rd party URL shorteners
You Modified an Algorithm - Now What?
A space for data science professionals to engage in discussions and debates on the subject of data science.
What is your go-to time series analytics solution?
News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.
Production Level Custom Analytics
Dedicated to web analytics, data and business analytics. We're here to discuss analysis of data, learning of skills and implementation of web analytics.
Been having this for 3 days straight
Post pictures of your food here. Other people will rate it! "Roast a toast, or even a roast! The reddit for food critique"
Where do you spend most of your time when building RAG?
Welcome to r/Rag, the community for everything Retrieval-Augmented Generation (RAG)! RAG combines retrieval systems with generative models to create more accurate responses, enhancing applications like customer support and research. Join us to discuss RAG techniques, projects, and tools. Whether you're a researcher, developer, or AI enthusiast, you'll find tips, tutorials, and support to innovate with RAG!