{"id":12941,"date":"2026-08-10T10:52:25","date_gmt":"2026-08-10T10:52:25","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-machine-learning-algorithms-in-depth-video-edition-2025-1\/"},"modified":"2026-08-10T10:52:25","modified_gmt":"2026-08-10T10:52:25","slug":"oreilly-machine-learning-algorithms-in-depth-video-edition-2025-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-machine-learning-algorithms-in-depth-video-edition-2025-1\/","title":{"rendered":"Oreilly \u2013 Machine Learning Algorithms in Depth, Video Edition 2025-1"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Machine Learning Algorithms in Depth, Video Edition. This course provides engineers with the ability to more effectively troubleshoot and optimize their models by delving into the inner workings and mathematical foundations. Designed for engineers who value a fundamental understanding of algorithm performance, this course provides hands-on explanations of dozens of algorithms. The course focuses on the design principles and theoretical foundations of a wide range of important algorithms, with a particular emphasis on probabilistic methods such as Bayesian inference and deep learning. Key data structures and algorithmic patterns are explored in this course. Each algorithm is taught comprehensively, both from a theoretical and mathematical perspective, and through practical implementations to clearly demonstrate its practical application. The course guides learners from the mathematical foundations of the most basic algorithms to their implementation in Python, demonstrating their applications in areas as diverse as finance, computer vision, and natural language processing. The teaching method is such that each topic is first presented with mathematical extraction and then supplemented with Python coding, clear explanations, and graphical images to provide a complete understanding of how to build and implement models.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Deep understanding of how algorithms work: Learn how machine learning algorithms work from the ground up to effectively troubleshoot models and improve their performance.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Explore practical implementations: Explore dozens of ML algorithms, including:<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Monte Carlo Stock Price Simulation<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Image denoising using Mean-Field Variational Inference<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">EM algorithm for Hidden Markov Models<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Imbalanced Learning, Active Learning, and Ensemble Learning<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Bayesian Optimization for Hyperparameter Tuning<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Clustering using Dirichlet Process K-Means<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Stock Clusters Based on Inverse Covariance Estimation<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Energy Minimization Using Simulated Annealing<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Image search based on ResNet Convolutional Neural Network<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Anomaly Detection in Time-Series Using Variational Autoencoders<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Mastering the theoretical principles: Understanding the basics of Bayesian inference and deep learning.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Learn data structures and algorithmic patterns: Familiarize yourself with the core data structures and algorithmic patterns for machine learning.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Mathematical understanding and implementation: See how each algorithm is mathematically derived and then its practical Python implementation.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Machine Learning Practitioners who are familiar with Linear Algebra, Probability, and Basic Calculus.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">ML engineers who seek a deeper understanding of how algorithms work to troubleshoot and improve model performance.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Professionals in fields like finance, computer vision, and natural language processing who want to learn related ML algorithms.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Anyone who wants to comprehensively learn the mathematical foundations and practical implementation of machine learning algorithms.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course details for Machine Learning Algorithms in Depth, Video Edition<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.oreilly.com\/videos\/machine-learning-algorithms\/9781633439214VE\/\" target=\"_blank\" rel=\"noopener\"><span dir=\"auto\" style=\"vertical-align: inherit\">Oreilly<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Instructor: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/vadim-smolyakov\/\"><span dir=\"auto\" style=\"vertical-align: inherit\">Vadim Smolyakov<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Training level: Beginner to advanced<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Training duration: 6 hours and 21 minutes<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1015865 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/10\/Machine-Learning-Algorithms-in-Depth-Video-Edition-1.png\" alt=\"Machine Learning Algorithms in Depth, Video Edition\" width=\"289\" height=\"2059\"> <img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1015866\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/10\/Machine-Learning-Algorithms-in-Depth-Video-Edition-2-scaled.png\" alt=\"Machine Learning Algorithms in Depth, Video Edition\" width=\"289\" height=\"2466\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1015868 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/10\/Machine-Learning-Algorithms-in-Depth-Video-Edition.png\" alt=\"Machine Learning Algorithms in Depth, Video Edition\" width=\"1229\" height=\"446\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Sample course video<\/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-182385-1\"><video class=\"wp-video-shortcode\" id=\"video-182385-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_Algorithms_in_Depth_Video_Edition_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_Algorithms_in_Depth_Video_Edition_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_Algorithms_in_Depth_Video_Edition_Downloadly.ir.mp4?nocache=1786174121207\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Machine_Learning_Algorithms_in_Depth_Video_Edition_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 dir=\"ltr\" style=\"text-align: left\">\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Installation Guide<\/span><\/h3>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">After Extract, view with your favorite player.<\/span><\/p>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Subtitles: None<\/span><\/p>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Quality: 1080p<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<h4 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Downloadly<\/span><\/h4>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Oreilly_Machine_Learning_Algorithms_in_Depth_Video_Edition_2025-1.part1_Downloadly.ir.rar?nocache=1786174119\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download Part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Oreilly_Machine_Learning_Algorithms_in_Depth_Video_Edition_2025-1.part2_Downloadly.ir.rar?nocache=1786174119\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download Part 2 \u2013 78 MB<\/span><\/a><\/p>\n<h4 dir=\"ltr\">Rapidgator link<\/h4>\n<p><a href=\"https:\/\/rapidgator.net\/file\/24219f16e7c3275b3f4c4ba21c9db78e\/Oreilly_Machine_Learning_Algorithms_in_Depth_Video_Edition_2025-1.part1_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 1 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/cd7713421105791196461831fb5f1594\/Oreilly_Machine_Learning_Algorithms_in_Depth_Video_Edition_2025-1.part2_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 2 \u2013 78 MB<\/a>&nbsp;<\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">1.07 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Machine Learning Algorithms in Depth, Video Edition. This course provides engineers with the ability to more effectively troubleshoot and optimize t<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[106314,106315,106316,106317,106318,106319],"class_list":["post-12941","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-machine-learning-algorithms-in-depth-video-edition","dgi_tag-download-course-machine-learning-algorithms-in-depth-video-edition","dgi_tag-download-machine-learning-algorithms-in-depth-video-edition","dgi_tag-free-download-machine-learning-algorithms-in-depth-video-edition","dgi_tag-free-machine-learning-algorithms-in-depth-video-edition","dgi_tag-vadim-smolyakov"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/12941","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\/12941\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=12941"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=12941"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=12941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}