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2024 is on its way out, and will be history in a matter of hours.
With the end of another year comes the inevitable Top X end of the year lists, to everyone’s enduring delight and enthusiasm! 😂
At KDnuggets, we aren’t above a good year end list. As we do every year, we have compiled our most-viewed articles of the year, and can’t wait to share them with you. These are the articles that gained the most interest from the community, which means it’s the top list put together by YOU, making it the most authentic one possible.
So here it is: the most-viewed KDnuggets articles published in the year 2024. Take a look at the list yourself and feel free to reach out in the comments if you are interested in sharing your opinions on any of the articles.
The 10 Most Popular of 2024
Let’s start with the top 10 of the year!*
A closer look at these top 10 titles reveals that many of our readers are here to learn, and to find resources to learn from! Eight of the articles contain the word “Courses” in their title, while the other 2 are collections of GitHub repos for mastering particular topics. Pretty clear signal here from the community: they want to learn, and they want us to help.
A big shout out to Nisha, Bala, Natassha, and Abid for covering the top 10 articles of the year on KDnuggets! 🎉 🎂 🥳
Most Popular Articles 11-15
And now let’s have a look at the next 15, rounding out the top 25 total most-viewed articles of 2024 on KDnuggets.
And the story here is similar, if not a little more diverse. Courses, GitHub repositories, practice platforms, projects, and some career advice. Just more evidence to very strongly suggest that our readers are (mostly) looking for a specific set of content from us. Hopefully we can continue providing it in the new year!
Thanks for another great year, and we’re looking forward to doing great things together in 2025.
* As of December 15, 2024
Matthew Mayo (@mattmayo13) holds a master’s degree in computer science and a graduate diploma in data mining. As managing editor of KDnuggets & Statology, and contributing editor at Machine Learning Mastery, Matthew aims to make complex data science concepts accessible. His professional interests include natural language processing, language models, machine learning algorithms, and exploring emerging AI. He is driven by a mission to democratize knowledge in the data science community. Matthew has been coding since he was 6 years old.