https://harunpirim.netlify.app/post/ Posts Wowchemy (https://wowchemy.com)en-usTue, 05 Feb 2019 00:00:00 +0000 https://harunpirim.netlify.app/images/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_2.png https://harunpirim.netlify.app/post/ https://harunpirim.netlify.app/post/gm/ Tue, 05 Feb 2019 00:00:00 +0000 https://harunpirim.netlify.app/post/gm/ <p><strong>Here, I will be providing links to resources related to graph mining&hellip;</strong></p> <p><a href="http://rocketdatascience.org/?p=1253" target="_blank" rel="noopener">Glossaries of Data Science Terminology by Kirk Borne</a></p> <p><a href="http://networksciencebook.com" target="_blank" rel="noopener">Network science book by Albert L. Barabasi</a></p> <p><a href="http://users.dimi.uniud.it/~massimo.franceschet/ns/plugandplay/ggraph/ggraph.html#1" target="_blank" rel="noopener">Tidy network analysis and visualization by Massimo Franceshet</a></p> <p><a href="https://towardsdatascience.com/data-scientists-the-five-graph-algorithms-that-you-should-know-30f454fa5513" target="_blank" rel="noopener">Data Scientists, The 5 Graph Algorithms that you should know by Rahul Agarwal(with networkx python code)</a></p> <p><a href="https://towardsdatascience.com/graph-theory-and-deep-learning-know-hows-6556b0e9891b" target="_blank" rel="noopener">Everything you need to know about Graph Theory for Deep Learning by Flawnson Tong</a></p> <p><a href="https://medium.com/octavian-ai/how-to-get-started-with-machine-learning-on-graphs-7f0795c83763" target="_blank" rel="noopener">How to get started with machine learning on graphs by David Mack</a></p> <p><a href="https://medium.com/octavian-ai/machine-learning-on-graphs-course-pre-requisites-446d2ff3878b" target="_blank" rel="noopener">Machine learning on Graphs course: Pre-requisites by David Mack</a></p> <p><a href="https://towardsdatascience.com/overview-of-deep-learning-on-graph-embeddings-4305c10ad4a4" target="_blank" rel="noopener">Graph Embedding for Deep Learning by Flawnson Tong</a></p> <p><a href="https://towardsdatascience.com/graph-convolutional-networks-for-geometric-deep-learning-1faf17dee008" target="_blank" rel="noopener">Graph Convolutional Networks for Geometric Deep Learning by Flawnson Tong</a></p> <p><a href="https://flawnsontong.medium.com/what-is-geometric-deep-learning-b2adb662d91d" target="_blank" rel="noopener">What is Geometric Deep Learning? by Flawnson Tong</a></p> <p><a href="https://paperswithcode.com/methods/area/graphs" target="_blank" rel="noopener">Papers with code website</a></p> <!--  --> https://harunpirim.netlify.app/post/lp/ Wed, 20 Apr 2016 00:00:00 +0000 https://harunpirim.netlify.app/post/lp/ <p><strong>Here, I will providing resources related to mathematical programming in general and linear programming&hellip;</strong></p> <ul> <li> <p>📚 <a href="https://ampl.com/resources/the-ampl-book/" target="_blank" rel="noopener">AMPL book</a></p> </li> <li> <p>👉 <a href="https://www.r-orms.org" target="_blank" rel="noopener">R for opearations research</a></p> </li> <li> <p>👉 <a href="https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/" target="_blank" rel="noopener">Linear Algebra lecture videos by Gilbert Strang</a></p> </li> </ul> <!-- [Link](https://academic-demo.netlify.com/) of introductory video, or [introductory text](https://sourcethemes.com/academic/#expo). Useful links - 👉 [**Get Started**](#install) - 📚 [View the **documentation**](https://sourcethemes.com/academic/docs/) - 💬 [**Ask a question** on the forum](https://discourse.gohugo.io) - 👥 [Chat with the **community**](https://spectrum.chat/academic) - 🐦 Twitter: [@source_themes](https://twitter.com/source_themes) [@GeorgeCushen](https://twitter.com/GeorgeCushen) [#MadeWithAcademic](https://twitter.com/search?q=%23MadeWithAcademic&src=typd) - 💡 [Request a **feature** or report a **bug**](https://github.com/gcushen/hugo-academic/issues) - ⬆️ **Updating?** View the [Update Guide](https://sourcethemes.com/academic/docs/update/) and [Release Notes](https://sourcethemes.com/academic/updates/) - ❤️ **Support development** of Academic: - ☕️ [**Donate a coffee**](https://paypal.me/cushen)