{"id":8059,"date":"2026-08-10T09:51:25","date_gmt":"2026-08-10T09:51:25","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-intermediate-machine-learning-2024-11\/"},"modified":"2026-08-10T09:51:25","modified_gmt":"2026-08-10T09:51:25","slug":"udemy-intermediate-machine-learning-2024-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-intermediate-machine-learning-2024-11\/","title":{"rendered":"Udemy \u2013 Intermediate Machine Learning 2024-11"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p><span style=\"vertical-align: inherit\">Intermediate Machine Learning Course. This course introduces students to the field of machine learning. This course provides a comprehensive overview of all the different aspects of the machine learning pipeline, as well as the different types and subsets of machine learning models. Various aspects of the data pipeline will be explained, such as what to consider while collecting data, how to analyze and interpret data sets, how to create meaningful visualizations of your data, and how to clean and prepare data sets for training machine learning models. The discussions also provide students with insights into how to modify various aspects of the data pipeline for different types of data, such as tabular, image, text, and time series data.<\/span><\/p>\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<p data-sourcepos=\"9:1-9:639\"><span style=\"vertical-align: inherit\">Students will then be introduced to the various subsets of machine learning, with a particular focus on the most popular supervised and unsupervised machine learning models, as well as several deep learning architectures. We will also cover semi-supervised and reinforcement learning to a lesser extent. Lectures on specific models will be given with the aim of educating students about the main idea behind the models, the main differences between the different models, and what are considered their advantages and disadvantages. We will not provide detailed mathematical explanations of these models, but some of the discussions will provide insights into aspects of the underlying mathematics that affect how the models work and the problems for which they are suitable.<\/span><\/p>\n<h3 data-sourcepos=\"15:1-15:65\"><strong><span style=\"vertical-align: inherit\">What you will learn in the Intermediate Machine Learning course<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"17:1-31:0\">\n<li data-sourcepos=\"17:1-17:41\"><span style=\"vertical-align: inherit\">Identifying the different important steps in the data pipeline<\/span><\/li>\n<li data-sourcepos=\"18:1-18:80\"><span style=\"vertical-align: inherit\">Identify common pitfalls when conducting data collection for machine learning projects<\/span><\/li>\n<li data-sourcepos=\"19:1-19:90\"><span style=\"vertical-align: inherit\">Reviewing collected data to find any potential attribute relationships and data quality concerns<\/span><\/li>\n<li data-sourcepos=\"20:1-20:95\"><span style=\"vertical-align: inherit\">Creating data visualizations that help identify any patterns that can be used<\/span><\/li>\n<li data-sourcepos=\"21:1-21:45\"><span style=\"vertical-align: inherit\">Selecting features that are likely to be informative<\/span><\/li>\n<li data-sourcepos=\"22:1-22:62\"><span style=\"vertical-align: inherit\">Clean the dataset by addressing potential data quality issues.<\/span><\/li>\n<li data-sourcepos=\"23:1-23:66\"><span style=\"vertical-align: inherit\">Organizing data sets so they are ready for model input<\/span><\/li>\n<li data-sourcepos=\"24:1-24:72\"><span style=\"vertical-align: inherit\">Distinguish between supervised, unsupervised, semi-supervised, and self-supervised learning<\/span><\/li>\n<li data-sourcepos=\"25:1-25:42\"><span style=\"vertical-align: inherit\">Comparing traditional machine learning and deep learning<\/span><\/li>\n<li data-sourcepos=\"26:1-26:64\"><span style=\"vertical-align: inherit\">Discussion of various popular supervised and unsupervised learning models<\/span><\/li>\n<li data-sourcepos=\"27:1-27:69\"><span style=\"vertical-align: inherit\">Using Scikit-learn to solve basic to intermediate machine learning problems<\/span><\/li>\n<li data-sourcepos=\"28:1-28:34\"><span style=\"vertical-align: inherit\">Explaining what neural networks are<\/span><\/li>\n<li data-sourcepos=\"29:1-29:34\"><span style=\"vertical-align: inherit\">Comparing different types of neural networks<\/span><\/li>\n<li data-sourcepos=\"30:1-31:0\"><span style=\"vertical-align: inherit\">Implementing beginner to intermediate deep learning solutions using PyTorch<\/span><\/li>\n<\/ul>\n<h3 data-sourcepos=\"32:1-32:30\"><strong><span style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/strong><\/h3>\n<ul data-sourcepos=\"34:1-38:209\">\n<li data-sourcepos=\"34:1-34:390\"><span style=\"vertical-align: inherit\">This course is intended for engineers and developers who want to learn more about machine learning and who want to potentially move into a data scientist or machine learning engineer role. We won\u2019t discuss the underlying mathematical principles, but you\u2019ll know enough by the end of this course to be able to use existing implementations to solve beginner to intermediate machine learning problems.<\/span><\/li>\n<li data-sourcepos=\"35:1-35:289\"><span style=\"vertical-align: inherit\">This course will be useful for students who plan to pursue a career as a data scientist or machine learning engineer. It will provide you with a strong foundational knowledge of most of the key aspects of a machine learning project, providing you with a strong foundation to continue your understanding of the field.<\/span><\/li>\n<li data-sourcepos=\"36:1-36:299\"><span style=\"vertical-align: inherit\">This course will also be useful for managers who want to understand the important aspects of machine learning projects and what to consider when pursuing such a project. It will also provide them with enough knowledge to participate in machine learning discussions and know which questions are important.<\/span><\/li>\n<li data-sourcepos=\"37:1-37:370\"><span style=\"vertical-align: inherit\">This course can be useful for someone who has taken our introductory machine learning course and wants to continue learning about different models and how to implement them in Scikit-learn or PyTorch. However, there is some overlap between the material in the two courses and so some information will be repeated (although we will usually provide more information in this course).<\/span><\/li>\n<li data-sourcepos=\"38:1-38:209\"><span style=\"vertical-align: inherit\">And\u2026<\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Intermediate Machine Learning Course Specifications<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/intermediate-machine-learning\/?couponCode=NEWYEARCAREER\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor:&nbsp; <\/span><a class=\"ud-btn ud-btn-large ud-btn-link ud-heading-md ud-text-sm ud-instructor-links\" href=\"https:\/\/downloadlynet.ir\/tag\/munus-international\/\" data-position=\"1\"><span class=\"ud-btn-label\"><span style=\"vertical-align: inherit\">Munus International<\/span><\/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: 14 hours and 25 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of lessons: 75<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<h2>&nbsp;<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-956437 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/01\/Intermediate-Machine-Learning3.png\" alt=\"Intermediate Machine Learning\" width=\"804\" height=\"764\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Intermediate Machine Learning Course Prerequisites<\/span><\/h3>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\">\n<ul>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Programming experience is not required to follow the course or the concepts that are being discussed. However, if you want to be able to do the homework and to implement models yourself, you will need to know how to program in Python.<\/span><\/li>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Fundamental knowledge of derivatives and statistics will be beneficial, but is not required. As far as possible we aim to avoid unnecessary mathematical and statistical details when discussing the various concepts in this course.<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-956436 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/01\/Intermediate-Machine-Learning2.png\" alt=\"Intermediate Machine Learning\" width=\"814\" height=\"364\"><\/h2>\n<h3><span 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-151541-1\"><video class=\"wp-video-shortcode\" id=\"video-151541-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Intermediate_Machine_Learning_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Intermediate_Machine_Learning_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Intermediate_Machine_Learning_Downloadly.ir.mp4?nocache=1786111253902\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Intermediate_Machine_Learning_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>\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\">Subtitles: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 1080p<\/span><\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Intermediate_Machine_Learning_2024-11.part1_Downloadly.ir.rar?nocache=1786111253\"><span style=\"vertical-align: inherit\">Download Part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Intermediate_Machine_Learning_2024-11.part2_Downloadly.ir.rar?nocache=1786111253\"><span style=\"vertical-align: inherit\">Download Part 2 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Intermediate_Machine_Learning_2024-11.part3_Downloadly.ir.rar?nocache=1786111253\"><span style=\"vertical-align: inherit\">Download Part 3 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Intermediate_Machine_Learning_2024-11.part4_Downloadly.ir.rar?nocache=1786111253\"><span style=\"vertical-align: inherit\">Download Part 4 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Intermediate_Machine_Learning_2024-11.part5_Downloadly.ir.rar?nocache=1786111253\"><span style=\"vertical-align: inherit\">Download Part 5 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Intermediate_Machine_Learning_2024-11.part6_Downloadly.ir.rar?nocache=1786111253\"><span style=\"vertical-align: inherit\">Download Part 6 \u2013 194 MB<\/span><\/a><\/p>\n<p><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">5.1 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Intermediate Machine Learning Course. This course introduces students to the field of machine learning. This course provides a comprehensive overvie<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[72172,72173,72174,72175,72176,66621],"class_list":["post-8059","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-intermediate-machine-learning","dgi_tag-download-course-intermediate-machine-learning","dgi_tag-download-intermediate-machine-learning","dgi_tag-free-download-intermediate-machine-learning","dgi_tag-free-intermediate-machine-learning","dgi_tag-munus-international"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/8059","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\/8059\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=8059"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=8059"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=8059"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}