{"id":23586,"date":"2020-07-16T17:15:08","date_gmt":"2020-07-16T17:15:08","guid":{"rendered":"https:\/\/www.inspirenignite.com\/jntuh\/it524pe-pattern-recognition-it-syllabus-for-btech-3rd-year-1st-sem-r18-regulation-jntuh-professional-elective-ii\/"},"modified":"2020-07-16T17:15:08","modified_gmt":"2020-07-16T17:15:08","slug":"it524pe-pattern-recognition-it-syllabus-for-btech-3rd-year-1st-sem-r18-regulation-jntuh-professional-elective-ii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/it524pe-pattern-recognition-it-syllabus-for-btech-3rd-year-1st-sem-r18-regulation-jntuh-professional-elective-ii\/","title":{"rendered":"IT524PE: Pattern Recognition IT Syllabus for B.Tech 3rd Year 1st Sem R18 Regulation JNTUH (Professional Elective-II)"},"content":{"rendered":"<p align=\"justify\">Pattern Recognition detailed Syllabus for Information Technology (IT), R18 regulation has been taken from the <a href=\"https:\/\/jntuh.ac.in\/syllabus\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">JNTUH<\/a> official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical\/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.<\/p>\n<p align=\"justify\">For all the other IT 3rd Year 1st Sem Syllabus for B.Tech R18 Regulation JNTUH, visit <a href=\"..\/it-3rd-year-1st-sem-syllabus-for-btech-r18-regulation-jntuh\">Information Technology 3rd Year 1st Sem R18 Scheme<\/a>. <\/p>\n<p align=\"justify\">For all the (Professional Elective-II) subjects refer to <a href=\"..\/it-3rd-year-1st-sem-professional-elective-ii-syllabus-for-btech-r18-regulation-jntuh\">Professional Elective-II Scheme<\/a>. The detail syllabus for pattern recognition is as follows.  <\/p>\n<h4>Pre-requisite:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a 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 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<h4>Course Objectives:<\/h4>\n<p align=\"justify\">\n<ul>\n<li>This course introduces fundamental concepts, theories, and algorithms for pattern recognition and machine learning.<\/li>\n<li>Topics include: Pattern Representation, Nearest Neighbor Based Classifier, Bayes Classifier, Hidden Markov Models, Decision Trees, Support Vector Machines, Clustering, and an application of hand-written digit recognition.<\/li>\n<\/ul>\n<h4>Course Outcomes:<\/h4>\n<p align=\"justify\">\n<ul>\n<li>Understand the theory, benefits, inadequacies and possible applications of various machine learning and pattern recognition algorithms<\/li>\n<li>Identify and employ suitable machine learning techniques in classification, pattern recognition, clustering and decision problems.<\/li>\n<\/ul>\n<h4>Unit I<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a 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 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<h4>Unit II<\/h4>\n<p align=\"justify\">\nNearest Neighbor Based Classifier: Nearest Neighbor Algorithm, Variants of the NN Algorithm use of the Nearest Neighbor Algorithm for Transaction Databases, Efficient Algorithms, Data Reduction, Prototype Selection. Bayes Classifier: Bayes Theorem, Minimum Error Rate Classifier, Estimation of Probabilities, Comparison with the NNC, Naive Bayes Classifier, Bayesian Belief Network.<\/p>\n<h4>Unit III<\/h4>\n<p align=\"justify\">\nHidden Markov Models: Markov Models for Classification, Hidden Morkov Models, Classification using HMMs. Decision Trees: Introduction, Decision Tree for Pattern Classification, Construction of Decision Trees, Splitting at the Nodes, Overfitting and Pruning, Examples of Decision Tree Induction.<\/p>\n<h4>Unit IV<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a 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 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<h4>Unit V<\/h4>\n<p align=\"justify\">\nClustering: Why is Clustering Important, Hierarchical Algorithms, Partitional Clustering, Clustering Large Data Sets. An Application-Hand Written Digit Recognition: Description of the Digit Data, Preprocessing of Data, Classification Algorithms, Selection of Representative Patterns, Results.<\/p>\n<h4>Text Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Pattern Recognition: An Algorithmic Approach: Murty, M. Narasimha, Devi, V. Susheela, Spinger Pub,1st Ed.<\/li>\n<\/ol>\n<h4>Reference 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 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 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 align=\"justify\">For detail Syllabus of all other subjects of B.Tech 3rd Year 1st Sem Information Technology, visit <a href=\"..\/category\/it+3rd-year\">IT 3rd Year 1st Sem Syllabus<\/a> Subjects.<\/p>\n<p align=\"justify\">For all B.Tech results, visit <a href=\"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-b-tech-results\/\">JNTUH B.Tech all years, and semester results <\/a>from direct links.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pattern Recognition detailed Syllabus for Information Technology (IT), R18 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For Course [&hellip;]<\/p>\n","protected":false},"author":2344,"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":[114],"tags":[],"class_list":["post-23586","post","type-post","status-publish","format-standard","hentry","category-it"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/23586","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/users\/2344"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/comments?post=23586"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/23586\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=23586"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=23586"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=23586"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}