{"id":2722,"date":"2026-08-10T08:58:39","date_gmt":"2026-08-10T08:58:39","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-applied-math-for-data-science-2023-9\/"},"modified":"2026-08-10T08:58:39","modified_gmt":"2026-08-10T08:58:39","slug":"oreilly-applied-math-for-data-science-2023-9","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-applied-math-for-data-science-2023-9\/","title":{"rendered":"Oreilly \u2013 Applied Math for Data Science 2023-9"},"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\">Applied Math for Data Science course. As data becomes more available, there is a growing demand for talent who can analyze and make sense of it. This makes applied mathematics all the more important as it helps to derive insights from data. However, mathematics encompasses many subjects, and it can be difficult to discern which ones are applicable and relevant to a data science career. Knowing these essential mathematical topics is key to integrating knowledge in data science, statistics, and machine learning. In this course, learners carefully review a list of math topics to begin mastering areas of mathematics that they can immediately apply. They will understand the principles of probability, statistics, hypothesis testing, linear algebra, linear regression, classification models, and practical computing. Along the way, they will integrate this knowledge into applications for real-world problems.<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">What you will learn in Applied Math for Data Science course<\/span><\/h3>\n<div class=\"what-you-will-learn--content-spacing--3n5NU\">\n<ul>\n<li><span style=\"vertical-align: inherit\">Gain a basic understanding of calculus, linear algebra, probability, statistics, and supervised machine learning.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Apply the fundamentals of math in Python using standard math libraries such as NumPy and SymPy.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Integrate multiple applied math disciplines such as linear algebra and calculus to perform tasks such as gradient descent.<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">This course is suitable for people who<\/span><\/h3>\n<div class=\"styles--audience--2xuzW\" data-purpose=\"target-audience\">\n<ul>\n<li><span style=\"vertical-align: inherit\">You are an emerging data scientist who wants to build a foundational knowledge of fundamental mathematical concepts and how they apply to probability, statistics, and machine learning.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">You are a programmer who uses data science and machine learning libraries and want to understand the mathematical principles and probability behind them.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">You manage a data science team and want to have a basic understanding of the techniques used in this field.<\/span><\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">Specifications of Applied Math for Data Science course<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.oreilly.com\/videos\/applied-math-for\/0636920895664\/\" target=\"_blank\"><span style=\"vertical-align: inherit\">Oreilly<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer: <\/span><a class=\"author-name\" href=\"https:\/\/downloadlynet.ir\/tag\/thomas-nield\/\"><span style=\"vertical-align: inherit\">Thomas Nield<\/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: 5 hours and 41 minutes<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-894808 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/04\/Applied-Math-for-Data-Science.jpg\" alt=\"Applied Math for Data Science\" width=\"452\" height=\"1477\"><\/p>\n<p>&nbsp;<\/p>\n<h3><span style=\"vertical-align: inherit\">Applied Math for Data Science course prerequisites<\/span><\/h3>\n<ul>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Beginner knowledge of Python (if-then conditionals, for loops, lists and other collections)<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-894809 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/04\/Applied-Math-for-Data-Science-1-1.jpg\" alt=\"Applied Math for Data Science\" width=\"679\" height=\"191\"><\/p>\n<h3><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-122557-1\"><video class=\"wp-video-shortcode\" id=\"video-122557-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Applied_Math_for_Data_Science_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Applied_Math_for_Data_Science_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Applied_Math_for_Data_Science_Downloadly.ir.mp4?nocache=1786096124480\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Applied_Math_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>\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\">English subtitle<\/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:\/\/dl3.downloadly.ir\/Files\/Elearning\/Oreilly_Applied_Math_for_Data_Science_2023-9.part1_Downloadly.ir.rar?nocache=1786096121\"><span style=\"vertical-align: inherit\">Download part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Oreilly_Applied_Math_for_Data_Science_2023-9.part2_Downloadly.ir.rar?nocache=1786096121\"><span style=\"vertical-align: inherit\">Download part 2 \u2013 372 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\">Size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">1.3 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Applied Math for Data Science course. As data becomes more available, there is a growing demand for talent who can analyze and make sense of it. 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