{"id":3596,"date":"2026-08-10T09:06:21","date_gmt":"2026-08-10T09:06:21","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-graph-algorithms-for-data-science-2024-4\/"},"modified":"2026-08-10T09:06:21","modified_gmt":"2026-08-10T09:06:21","slug":"oreilly-graph-algorithms-for-data-science-2024-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-graph-algorithms-for-data-science-2024-4\/","title":{"rendered":"Oreilly \u2013 Graph Algorithms for Data Science 2024-4"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<div class=\"presented-response-container ng-tns-c2892812740-91\" style=\"text-align: left\">\n<div class=\"response-container-content ng-tns-c2892812740-91\">\n<div class=\"response-content ng-tns-c2892812740-91\">\n<div class=\"markdown markdown-main-panel\">\n<p data-sourcepos=\"5:1-5:172\"><span style=\"vertical-align: inherit\">Graph Algorithms for Data Science course. Graphs are a natural way to display and understand related data. This course covers the most important graph-related algorithms and techniques in data science and provides practical advice on their implementation and application. Even if you have no previous experience with graphs, you can benefit from this valuable guide. These powerful algorithms are explained using simple, jargon-free text and images, making it easy to apply them to your own projects.<\/span><\/p>\n<h3 data-sourcepos=\"7:1-7:25\"><strong><span style=\"vertical-align: inherit\">What you will learn:<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"9:1-13:9\">\n<li data-sourcepos=\"9:1-9:44\"><span style=\"vertical-align: inherit\">Graph modeling with labeled features<\/span><\/li>\n<li data-sourcepos=\"10:1-10:53\"><span style=\"vertical-align: inherit\">Create graphs from structured data such as CSV or SQL<\/span><\/li>\n<li data-sourcepos=\"11:1-11:75\"><span style=\"vertical-align: inherit\">Natural language processing (NLP) techniques for constructing graphs from unstructured data<\/span><\/li>\n<li data-sourcepos=\"12:1-12:62\"><span style=\"vertical-align: inherit\">Cypher query language syntax for data manipulation and insight extraction<\/span><\/li>\n<li data-sourcepos=\"13:1-13:9\"><span style=\"vertical-align: inherit\">Social network analysis algorithms such as PageRank and community detection<\/span><\/li>\n<li data-sourcepos=\"14:1-14:103\"><span style=\"vertical-align: inherit\">How to convert the graph structure into the input of the machine learning model using node embedding models<\/span><\/li>\n<li data-sourcepos=\"15:1-16:0\"><span style=\"vertical-align: inherit\">Using graph features in node classification and link prediction tasks<\/span><\/li>\n<\/ul>\n<p data-sourcepos=\"17:1-17:320\"><span style=\"vertical-align: inherit\">This course is a practical guide to working with graph-based data in applications such as machine learning, fraud detection, and business data analysis. The course is full of interesting and fun projects that teach you the alphabet of graphs. You\u2019ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and more.<\/span><\/p>\n<h3 data-sourcepos=\"20:1-20:33\"><strong><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"22:1-23:89\">\n<li data-sourcepos=\"22:1-22:49\"><span style=\"vertical-align: inherit\">Have basic knowledge about machine learning.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:89\"><span style=\"vertical-align: inherit\">Be familiar with the Cypher query language described in this course (optional).<\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3 style=\"text-align: left\" data-sourcepos=\"11:1-11:29\"><span style=\"vertical-align: inherit\">Course details<\/span><\/h3>\n<ul style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.oreilly.com\/library\/view\/graph-algorithms-for\/9781617299469AU\/\/\/\/\/\/\" target=\"_blank\"><span style=\"vertical-align: inherit\">Oreilly<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/tomaz-bratanic\/\"><span style=\"vertical-align: inherit\">Tomaz Bratanic<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: beginner to advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 9 hours 45 minutes<\/span><\/li>\n<\/ul>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<ul style=\"text-align: left\">\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Part 1. Introduction to graphs<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 1. Graphs and network science: An introduction<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 2. Representing network structure: Designing your first graph model<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Part 2. Network analysis<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 3. Your first steps with Cypher query language<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 4. Exploratory graph analysis<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 5. Introduction to social network analysis<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 6. Projecting monopartite networks<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 7. Inferring co-occurrence networks based on bipartite networks<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 8. Constructing a nearest neighbor similarity network<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Part 3. Graph machine learning<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 9. Node embeddings and classification<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 10. Link prediction<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 11. Knowledge graph completion<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Chapter 12. Constructing a graph using natural language processing techniques<\/li>\n<li class=\"toc-level-1 t-toc-level-1\" style=\"text-align: left\">Appendix. The Neo4j environment<\/li>\n<\/ul>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Graph Algorithms for Data Science course images<\/span><\/h3>\n<p style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-905272 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/06\/Graph-Algorithms-for-Data-Science.jpg\" alt=\"Graph Algorithms for Data Science\" width=\"1028\" height=\"376\"><\/p>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Sample video of the course<\/span><\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-127786-1\"><video class=\"wp-video-shortcode\" id=\"video-127786-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Graph_Algorithms_for_Data_Science_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Graph_Algorithms_for_Data_Science_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Graph_Algorithms_for_Data_Science_Downloadly.ir.mp4?nocache=1786098984033\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Graph_Algorithms_for_Data_Science_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div style=\"text-align: left\">\n<h3><span style=\"vertical-align: inherit\">Installation guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite Player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Subtitle: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">download link<\/span><\/h3>\n<p style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Oreilly_Graph_Algorithms_for_Data_Science_2024-4.part1_Downloadly.ir.rar?nocache=1786098983\"><span style=\"vertical-align: inherit\">Download part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Oreilly_Graph_Algorithms_for_Data_Science_2024-4.part2_Downloadly.ir.rar?nocache=1786098983\"><span style=\"vertical-align: inherit\">Download part 2 \u2013 411 MB<\/span><\/a><\/p>\n<p style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 style=\"text-align: left\"><span style=\"vertical-align: inherit\">Size<\/span><\/h3>\n<p style=\"text-align: left\"><span style=\"vertical-align: inherit\">1.4 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Graph Algorithms for Data Science course. Graphs are a natural way to display and understand related data. This course covers the most important gra<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[40658,40659,40660,40661,40662,40663,40664,40665,40666,40667,40668,40669,40670,40671,40672,40673,40674,40675,40676,40677,40678,40679,40680,40681],"class_list":["post-3596","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-graph-algorithms-for-data-science","dgi_tag-download-course-graph-algorithms-for-data-science","dgi_tag-download-graph-algorithms-for-data-science","dgi_tag-download-graph-algorithms-for-data-science-course","dgi_tag-download-graph-algorithms-for-data-science-course-for-free","dgi_tag-download-link-graph-algorithms-for-data-science","dgi_tag-download-links-graph-algorithms-for-data-science","dgi_tag-download-paid-course-graph-algorithms-for-data-science","dgi_tag-free-download-course-graph-algorithms-for-data-science","dgi_tag-free-download-graph-algorithms-for-data-science","dgi_tag-free-download-link-graph-algorithms-for-data-science","dgi_tag-free-download-links-graph-algorithms-for-data-science","dgi_tag-free-download-paid-course-graph-algorithms-for-data-science","dgi_tag-free-graph-algorithms-for-data-science","dgi_tag-free-graph-algorithms-for-data-science-download-course","dgi_tag-free-links-download-graph-algorithms-for-data-science","dgi_tag-free-paid-course-download-links-graph-algorithms-for-data-science","dgi_tag-graph-algorithms-for-data-science-download-course","dgi_tag-graph-algorithms-for-data-science-download-links","dgi_tag-graph-algorithms-for-data-science-for-free","dgi_tag-graph-algorithms-for-data-science-free-course","dgi_tag-graph-algorithms-for-data-science-free-download","dgi_tag-paid-course-graph-algorithms-for-data-science","dgi_tag-tomaz-bratanic"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/3596","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/3596\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=3596"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=3596"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=3596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}