{"id":6223,"date":"2024-04-04T10:12:14","date_gmt":"2024-04-04T10:12:14","guid":{"rendered":"https:\/\/www.inspirenignite.com\/kl\/4341-mathematics-for-ml-syllabus-for-artificial-intelligence-machine-learning-4th-sem-2021-revision-sitttr\/"},"modified":"2024-04-04T10:12:14","modified_gmt":"2024-04-04T10:12:14","slug":"4341-mathematics-for-ml-syllabus-for-artificial-intelligence-machine-learning-4th-sem-2021-revision-sitttr","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/kl\/4341-mathematics-for-ml-syllabus-for-artificial-intelligence-machine-learning-4th-sem-2021-revision-sitttr\/","title":{"rendered":"4341: Mathematics for ML Syllabus for Artificial Intelligence &amp; Machine Learning 4th Sem 2021 Revision SITTTR"},"content":{"rendered":"<p align=\"justify\">Mathematics for ML detailed syllabus for Artificial Intelligence &amp; Machine Learning (AM) for 2021 revision curriculum has been taken from the <a class=\"rank-math-link\" href=\"http:\/\/www.sitttrkerala.ac.in\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">SITTTRs<\/a> official website and presented for the Artificial Intelligence &amp; Machine Learning students. For course code, course name, number of credits for a course and other scheme related information,  do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For Artificial Intelligence &amp; Machine Learning 4th Sem scheme and its subjects, do visit <a class=\"rank-math-link\" href=\"..\/sitttr-diploma-artificial-intelligence-machine-learning-am-syllabus-for-4th-sem-2021-revision\">Artificial Intelligence &amp; Machine Learning (AM) 4th Sem 2021 revision scheme<\/a>. The detailed syllabus of mathematics for ml is as follows. <\/p>\n<p><h4>Course Objectives:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<p><h4>Course Outcomes:<\/h4>\n<p>On completion of the course, the students will be able to:<\/p>\n<ol>\n<li>Solve the system of linear equations and implement Eigenvalues and Eigenvectors in engineering problems\t1<\/li>\n<li>Utilize the concept related to partial derivatives to solve problems of maxima and minima of multivariable functions.<\/li>\n<li>Apply the concepts of probability for solving problems.<\/li>\n<li>Assess data using statistical methods and analyze that data by  hypothesis testing methods.<\/li>\n<\/ol>\n<p><h4>Module 1:<\/h4>\n<p>Vector spaces: Vector spaces, linear independence, basis and rank, linear combination of vectors, linearly independent and dependent vectors, rank of a matrix Systems of linear equations:- Method of solution:- Gauss Elimination Method ,Eigenvalues and Eigenvectors and their properties.\n<\/p>\n<p><h4>Module 2:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<p><h4>Module 3:<\/h4>\n<p>Probability: Axiomatic definition &#8211; sample space, dependent and independent events conditional probability,Bayes&#8217; Theorem Random variables: Discrete and continuous random variables, expectation, variance, Probability distributions- binomial, poisson\n<\/p>\n<p><h4>Module 4:<\/h4>\n<p>Fundamentals of Data: Collection, Summarization, and Visualization, Measures of central tendency and dispersion,Sampling and Sampling Distributions, Types of Errors, level of significance, Confidence Interval Estimation and Hypothesis Testing for Z -test and t- Test.\n<\/p>\n<p><h4>Text Books:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<p><h4>Online Resources<\/h4>\n<ol>\n<li>https:\/\/www.w3schools.com\/ai\/ai_mathematics.asp<\/li>\n<li>https:\/\/mml-book.github.io\/book\/mml-book.pdf<\/li>\n<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all other subjects of Artificial Intelligence &amp; Machine Learning (AM), 2021 revision curriculum do visit <a class=\"rank-math-link\" href=\"..\/category\/sitttr\/am\">Artificial Intelligence &amp; Machine Learning 4th Sem subject syllabuses for 2021 revision<\/a>. <\/p>\n<p align=\"justify\">To see the syllabus of all other branches of diploma 2021 revision curriculum do visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/sitttr-syllabus\/\"> SITTTR diploma all branches syllabus.<\/a>. <\/p>\n<p align=\"justify\">To see the results of Artificial Intelligence &amp; Machine Learning (AM) of diploma 2021 revision curriculum do visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/sitttr-results\/\"> SITTTR diploma Artificial Intelligence &amp; Machine Learning (AM) results.<\/a>. <\/p>\n<p align=\"justify\">For all Artificial Intelligence &amp; Machine Learning academic calendars, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/sitttr-academic-calendar\/\"> Artificial Intelligence &amp; Machine Learning all semesters academic calendar<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mathematics for ML detailed syllabus for Artificial Intelligence &amp; Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Artificial Intelligence [&hellip;]<\/p>\n","protected":false},"author":2462,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[35,66],"tags":[],"class_list":["post-6223","post","type-post","status-publish","format-standard","hentry","category-4th-sem","category-am"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/6223","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/users\/2462"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/comments?post=6223"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/6223\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/media?parent=6223"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/categories?post=6223"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/tags?post=6223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}