--- title: Best Math posts — June 2024 | daily.dev description: The most upvoted Math posts from June 2024, curated by the daily.dev community. canonical: https://daily.dev/tags/math/best-of/2024/06 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/math/best-of/2024/06 og:type: website og:site_name: daily.dev og:title: Best Math posts — June 2024 | daily.dev og:description: The most upvoted Math posts from June 2024, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of Math — June 2024 1. 1 [](https://daily.dev/posts/practical-guide-to-linear-algebra-in-data-science-and-ai-uief7yrio "Practical Guide to Linear Algebra in Data Science and AI") Article freeCodeCamp · 2y Practical Guide to Linear Algebra in Data Science and AI Linear algebra is a practical tool that can be used to solve real-world problems in data science and AI. It is applied across various industries, and understanding its core concepts is essential for working with machine learning, deep learning, computer vision, and generative AI. A linear algebra roadmap for 2024 is provided to guide your learning journey, and there are numerous resources available to help you master linear algebra. 98 1 2. 2 [](https://daily.dev/posts/linear-algebra-concepts-every-data-scientist-should-know-w5xt70kis "Linear Algebra Concepts Every Data Scientist Should Know") Article Medium · 2y Linear Algebra Concepts Every Data Scientist Should Know Linear algebra is fundamental in transforming theoretical data science models into practical solutions. It is crucial for data representation, dimensionality reduction, optimization, feature engineering, and similarity measures. Concepts such as vectors, vector spaces, matrices, and operations like dot products and matrix multiplication are key foundational topics. Understanding the basis, rank, determinants, eigenvectors, and eigenvalues are vital for advanced applications in data science and machine learning. 82 3. 3 [](https://daily.dev/posts/jax-in-100-seconds-owxesepqj "JAX in 100 Seconds") Video Fireship · 2y JAX in 100 Seconds Jax is an accelerated linear algebra library that allows for high-performance array computing and automatic differentiation. It enforces constraints like immutable arrays and pure functions. Jax can run on accelerated hardware like GPUs and TPUs. 76 4. 4 [](https://daily.dev/posts/tetris-font-vkgndgpy5 "Tetris Font") Article Hacker News · 2y Tetris Font This post introduces a unique Tetris-inspired font where each letter and digit is constructed using Tetris pieces. The design process involved hand design aided by BurrTools software to ensure pieces fit correctly. It includes a puzzle font where letters' positions represent their drop sequence, improving the challenge. The post also touches on the NP-complete nature of Tetris and acknowledges contributions from collaborators at BRIDGES 2017. 18 1 5. 5 [](https://daily.dev/posts/the-math-behind-kan-kolmogorov-arnold-networks-eqmne9n2m "The Math Behind KAN — Kolmogorov-Arnold Networks") Article Medium · 2y The Math Behind KAN — Kolmogorov-Arnold Networks Discover the math behind Kolmogorov-Arnold Networks (KANs), a revolutionary alternative to Multi-Layer Perceptrons (MLPs) in the world of AI and neural networks. Learn about the limitations of MLPs, how KANs leverage the Kolmogorov-Arnold representation theorem, and the advantages of using KANs in terms of accuracy, interpretability, and scalability. 11 [See all Math archives](/tags/math/best-of) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/tags/math/best-of/2024/06#page","url":"https://daily.dev/tags/math/best-of/2024/06","name":"Best Math Posts — June 2024","description":"The most upvoted Math posts from June 2024, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/tags/math/best-of/2024/06#items","numberOfItems":5,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/practical-guide-to-linear-algebra-in-data-science-and-ai-uief7yrio","name":"Practical Guide to Linear Algebra in Data Science and AI"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/linear-algebra-concepts-every-data-scientist-should-know-w5xt70kis","name":"Linear Algebra Concepts Every Data Scientist Should Know"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/jax-in-100-seconds-owxesepqj","name":"JAX in 100 Seconds"},{"@type":"ListItem","position":4,"url":"https://daily.dev/posts/tetris-font-vkgndgpy5","name":"Tetris Font"},{"@type":"ListItem","position":5,"url":"https://daily.dev/posts/the-math-behind-kan-kolmogorov-arnold-networks-eqmne9n2m","name":"The Math Behind KAN — Kolmogorov-Arnold Networks"}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Tags","item":"https://daily.dev/tags"},{"@type":"ListItem","position":3,"name":"Math","item":"https://daily.dev/tags/math"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/tags/math/best-of"},{"@type":"ListItem","position":5,"name":"June 2024"}]}]} ```