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# Best of Classification — 2023

1. 1  
[](/posts/machine-learning-must-do-projects-for-beginners-wquylqxi9 "Machine Learning: Must Do Projects for Beginners")  
Article  
![Avatar of aiplainenglish](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/8a17667bb9684f35ae94c89e2d61e7eb)AI in Plain English · 3y  
Machine Learning: Must Do Projects for Beginners  
Machine Learning: Must Do Projects for Beginners. We will examine some of the most well-liked machine learning datasets and models in this article. In the next sections, we will discuss several datasets and the models that may be used in that exercises.  
33  
1
2. 2  
[](/posts/learn-to-code-advanced-html-css-8ma6kert3 "Learn to Code Advanced HTML & CSS")  
Article  
![Avatar of community](https://media.daily.dev/image/upload/t_logo,f_auto/v1655817725/logos/community)Community Picks · 4y  
Learn to Code Advanced HTML & CSS  
Learn to Code Advanced HTML & CSS Lesson 3 Complex Selectors Selectors are one of, if not, the most important parts of CSS. They shape the cascade and determine how styles are to be applied to elements on a page. The most common child selector is the descendant selector, which matches every element that follows an identified ancestor.  
20  
1
3. 3  
[](/posts/learn-to-build-unique-charts-with-react-u3orqci8c "Learn to build unique charts with React")  
Article  
![Avatar of community](https://media.daily.dev/image/upload/t_logo,f_auto/v1655817725/logos/community)Community Picks · 3y  
Learn to build unique charts with React  
This gallery guides you through the basic concepts of data visualization with React and D3.js. It also provides ready-to-use templates to get started quicker. Stop using pre-made dataviz components → imagination will become the only boundary to your creativity.  
18
4. 4  
[](/posts/meet-spectformer-a-novel-transformer-architecture-combining-spectral-and-multi-headed-attention-lay-aceiqdirn "Meet Spectformer: A Novel Transformer Architecture Combining Spectral And Multi-Headed Attention Layers That Improves Transformer Performance For Image Recognition Tasks")  
Article  
![Avatar of mlnews](https://media.daily.dev/image/upload/s--0PoEtdkd--/f_auto/v1750409401/squads/marktechpost?_a=BAMClqZW0)Machine Learning News · 3y  
Meet Spectformer: A Novel Transformer Architecture Combining Spectral And Multi-Headed Attention Layers That Improves Transformer Performance For Image Recognition Tasks  
The paper highlights how SpectFormer’s proposed architecture can better capture appropriate feature representations and improve Vision Transformer (ViT) performance. The team has made two contributions to the field: first, they suggest SpectFormer, a novel design that blends spectral and multi-headed attention layers to enhance image processing efficiency.  
10

[See all Classification archives](/tags/classification/best-of)

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