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Thought about data, software development and random Shenanigans
Since I start reading more and more research papers, I thought I would give a little overview of where I find these papers. You can provide a lot of free, and the locations below are my favorites to go.
arxif (I think it's pronounced "archive") is the most popular place to find research papers. There are several subsections, but those who are watching are machine learning and artificial intelligence. There is only so much that you will find here. In fact, there is so much that there is an open source version of Arxiv named Arxiv Sanity.
yep, the main town to find code is also a great place to find collections of research papers. Here are just a few of these collections you start to start.
Papers we love are a community of people who like to read computer science papers and then talk about what they have read. It's like a book club for computer science research. Although this is not just for the machine or giving a AI, there are some papers that touch on these fields.
During this repository in 2016 is not the latest papers of NIPs, link the Github repositories to access the source code with the reading of the paper.
This repository has quite many papers in it. It has broken down from the category such as the natural speech process and reinforcing learning. This does not just have papers. There are some links to video lectures and other blogs that you can go as additional resources.
Quick Kipp, if you want to find more Github lists curated there are many people who have under the fantastic badge on lists of topics. A search for Github Awesome and then, after which you are looking for, leads to some interesting results.
This is more of a search than a list of articles, but you can find a lot here. You can even create alarms on keywords or researchers that you want to follow to see what they quote.
reddit is always a good place to find a community in topics in which they are interesting. Machine learn and share interesting papers also has a place there.
While I'm a lot on the Data Science Subeddit, the Machine is learning to learn is great for research, projects and discussions. Often you get an additional context of the comments that can be calulatable than the paper itself.
Some of the big tech companies have their own research companies, such as the deep spirit of Google, Microsoft Research and Facebook Research. Often, they publish their papers on their websites, for each access. Even better, sometimes you create a blog post that emphasizes what a paper is in the newspaper.
There are some interesting magazines that customize specifically for publishing your work. Like Arxi, all papers are freely accessible here. You have the journal of Machine learning research specifically specific to machine learning topics. The Journal of Data Science, which includes the huge data science area, which will probably see many statistics papers here. And then there is the R journal, which has papers in which the code has been written specifically in R, so you have more statistics here, too.Hopefully you can find research papers with these resources that you will stay for a long time.