The best way to follow and get updates is to subscribe to RSS Feeds. You could easily subscribe to the RSS Feeds by entering the Email address under “Follow.It” and click “Subscribe” on the left widget of the website.
There are also a couple of tools and websites that help you get subscribed, such as Feeder and its Google Chrome extension RSS Feed Reader, or Feedly. I sometimes post links to new blog posts and articles on my Twitter as well.
If you like this website, sharing the website and the articles with your colleagues and friends, leaving comments and questions under the articles, and providing constructive feedbacks are the best ways to support.
If you would like to sponsor the website, this website accepts sponsors via a couple of ways:
- GitHub Sponsors allows one-time and monthly sponsors.
- If you happen to use the Brave Browser, have Basic Attention Tokens, please feel free to tip me.
- Clicking the Google Ads that you are interested in will bring revenues to the website.
- You may also buy me a coffee under each of the articles.
The money will be mainly used for paying the cloud service fees.
While I don’t limit the topics I will be working on, this website is mainly covering the topics including machine learning, artificial intelligence, quantum computing, mathematics, programming languages, Linux operating system, and physics.
For small code snippets, they would be included in the website content. For larger projects, please find it on my GitHub.
Please leave the questions under the website content as many as you can. This is encouraged because other readers could also see the discussion before they ask duplicated questions. I am currently using Disqus for managing comments and it will routinely notify and remind me about the comments in case I missed or forgot any. If the questions are extremely personal, you could send it to my Email.
The comment managing tool Disqus has special spam mechanisms. If your comment is classified as spam, your comment will not show up. I moderate the spam comments on Disqus routinely. If the spam is a false positive, I will make it public manually.
I wrote some blogs, articles, and projects in my early career during which I don’t understand some of the problems quite well. Looking back at those I felt they are of low-quality and they are not going to be helpful to the readers. Therefore, they were removed.
Starting from 2019, I decided to post things that I know thoroughly and tried my best to ensure the quality of the posts. All the mathematics involved, if there is any, should be self-contained and crystal clear to the readers. If you happen to find the links to some invalid posts via search engine or social media and you are still interested in reading those posts, please contact me in person.