[PYTHON] 14 e-mail newsletters useful for gathering information on machine learning

Machine learning is an ever-increasing world, and information gathering is indispensable. You can read blogs and news articles, follow people tweeting about machine learning on Twitter, and check the papers on arXiv every day. I think that we are collecting information by such a method.

The problem when collecting information is that there is too much information and important information is buried. The usual solution to this problem is to read articles with a lot of likes and bookmarks, narrow down the people you follow, or use some curation tool.

One of the recommended methods for those who want to check important information efficiently is to subscribe to the e-mail newsletter. Some of the benefits of subscribing to a machine learning e-mail newsletter are:

(↓ Usually delivered like this) スクリーンショット 2017-08-09 17.07.10.png

In this article, we will introduce 14 e-mail newsletters that are useful for gathering information on machine learning.

E-mail newsletter useful for collecting information on machine learning

Here are 14 e-mail newsletters that are useful for gathering information on machine learning. It won't be too long to introduce one by one, but it often includes a combination of four main weekly news items, commentary articles, machine learning projects, and dissertations.

In most e-mail newsletters, you can see the contents delivered in the past on the Web, so it is better to see it once before deciding whether or not to subscribe. Below are 11 machine learning e-mail newsletters: (I personally like the ones in bold)

Weekly Machine Learning and Weekly Kaggle News are available in Japanese.

The following three are Python e-mail newsletters. Python is often used in machine learning, so it's helpful to subscribe:

If you know of other sites and methods that say "This is good!", Please let us know in the comments.

in conclusion

Machine learning is an ever-increasing world, and information gathering is indispensable. In this article, we have introduced an e-mail newsletter for efficient and effective information gathering. By the way, after sorting the delivered emails with a mailer, I put interesting articles in Pocket and read them slowly over the weekend. We hope you find this article useful.

I also tweet information about machine learning and natural language processing on my Twitter account. @Hironsan

We look forward to your follow-up if you are interested in this area.

Recommended Posts

14 e-mail newsletters useful for gathering information on machine learning
Machine learning meeting information for HRTech
Data set for machine learning
Japanese preprocessing for machine learning
Build an environment for machine learning using Python on MacOSX
<For beginners> python library <For machine learning>
[Recommended tagging for machine learning # 4] Machine learning script ...?
[Definitive Edition] Building an environment for learning "machine learning" using Python on Mac
Search for technical blogs by machine learning focusing on "easiness to understand"
Notes on PyQ machine learning python grammar
First Steps for Machine Learning (AI) Beginners
An introduction to OpenCV for machine learning
Why Python is chosen for machine learning
Notes on running Azure Machine Learning locally
"Usable" one-hot Encoding method for machine learning
[Shakyo] Encounter with Python for machine learning
[Python] Web application design for machine learning
Machine learning with Pytorch on Google Colab
An introduction to Python for machine learning
Creating a development environment for machine learning
Machine learning
Looking back on the machine learning competition that I worked on for the first time
An introduction to machine learning for bot developers
Beginning of machine learning (recommended teaching materials / information)
Recommended study order for machine learning / deep learning beginners
Machine learning starting from 0 for theoretical physics students # 1
Upgrade the Azure Machine Learning SDK for Python
Notes on machine learning (updated from time to time)
[Python] Collect images with Icrawler for machine learning [1000 images]
Looking back on learning with Azure Machine Learning Studio
Classify machine learning related information by topic model
Machine learning starting from 0 for theoretical physics students # 2
PDF files and sites useful for learning Python 3
Collect images for machine learning (Bing Search API)
Install the machine learning library TensorFlow on fedora23
[For beginners] Introduction to vectorization in machine learning