{"id":54776,"date":"2023-08-26T15:21:24","date_gmt":"2023-08-26T15:21:24","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/el-3752-applied-machine-learning-syllabus-for-eie-2021-regulation\/"},"modified":"2023-08-26T15:21:24","modified_gmt":"2023-08-26T15:21:24","slug":"el-3752-applied-machine-learning-syllabus-for-eie-2021-regulation","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/el-3752-applied-machine-learning-syllabus-for-eie-2021-regulation\/","title":{"rendered":"El 3752: Applied Machine Learning syllabus for EIE 2021 regulation"},"content":{"rendered":"

Applied Machine Learning detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2021 regulation curriculum has been taken from the Anna University<\/a> official website and presented for the EIE 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

For Electronics & Instrumentation Engineering 7th Sem scheme and its subjects, do visit EIE 7th Sem 2021 regulation scheme<\/a>. The detailed syllabus of applied machine learning is as follows. <\/p>\n

Course Objectives:<\/h4>\n

Download the iStudy App for all syllabus and other updates.<\/a>
\"Get<\/a><\/h4>\n

Unit I<\/h4>\n

INTRODUCTION TO MACHINE LEARNING
\nObjectives of machine learning – Human learning\/ Machine learning – Types of Machine learning:-Supervised Learning – Unsupervised learning – Regression – Classification – The Machine Learning Process:- Data Collection and Preparation – Feature Selection – Algorithm Choice – Parameter and Model Selection – Training – Evaluation – Bias-Variance Tradeoff – Underfitting and Over fitting Problems.\n<\/p>\n

Unit II<\/h4>\n

DATA PREPROCESSING
\nData quality – Data preprocessing: – Data Cleaning:- Handling missing data and noisy data – Data integration:- Redundancy and correlation analysis – Continuous and Categorical Variables – Data Reduction:- Dimensionality reduction (Linear Discriminant Analysis – Principal Components Analysis).\n<\/p>\n

Unit III<\/h4>\n

Download the iStudy App for all syllabus and other updates.<\/a>
\"Get<\/a><\/h4>\n

Unit IV<\/h4>\n

CLUSTERING AND UNSUPERVISED LEARNING
\nIntroduction – Clustering:- Partitioning Methods:- K-means algorithm – Mean Shift Clustering -Hierarchical clustering – Clustering using Gaussian Mixture Models – Clustering High-Dimensional Data:- Problems – Challenges\n<\/p>\n

Unit V<\/h4>\n

NEURAL NETWORKS
\nMulti-Layer Perceptron – Backpropagation Learning Algorithm – Neural Network fundamentals -Activation functions – Types of Loss Function – Optimization: Gradient Descent Algorithm -Stochastic Gradient Descent – one case study.<\/p>\n

Skill Development Activities<\/h4>\n

(Group Seminar\/Mini Project\/Assignment\/Content Preparation \/ Quiz\/ Surprise Test \/ Solving GATE questions\/ etc) 10<\/p>\n

    \n
  1. Explore the areas and applications where machine learning is used.<\/li>\n
  2. Collect data for any application and apply data preprocessing techniques.<\/li>\n
  3. Develop prediction model using the Machine learning techniques.<\/li>\n
  4. Design controller using Neural Network for any one application<\/li>\n<\/ol>\n

    Course Outcomes:<\/h4>\n

    Download the iStudy App for all syllabus and other updates.<\/a>
    \"Get<\/a><\/h4>\n

    Text Books:<\/h4>\n
      \n
    1. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, An Introduction to Statistical Learning with Applications in R, Springer Texts in Statistics,2013.<\/li>\n
    2. Thomas A. Runkler, Data Analytics: Models and Algorithms for Intelligent Data Analysis, Springer Vieweg, 2nd Edition,2016.<\/li>\n<\/ol>\n

      Reference Books:<\/h4>\n
        \n
      1. EthemAlpaydin, \u00ef\u00bf\u00bdIntroduction to Machine Learning (AdaptiveComputation andMachine Learning), The MIT Press 2004.<\/li>\n
      2. Stephen Marsland, \u00ef\u00bf\u00bdMachine Learning: An Algorithmic Perspective, CRC Press, 2009<\/li>\n<\/ol>\n

        List of Open Source Software\/ Learning Website:<\/h4>\n
          \n
        1. https:\/\/lecturenotes.in\/materials\/64801-machine-learning-for-engineering-and-science-applications<\/li>\n
        2. https:\/\/nptel.ac.in\/courses\/106105152<\/li>\n
        3. https:\/\/nptel.ac.in\/courses\/106106139<\/li>\n
        4. https:\/\/nptel.ac.in\/courses\/106106202<\/li>\n
        5. https:\/\/nptel.ac.in\/courses\/110101145<\/li>\n<\/li>\n<\/ol>\n

          For detailed syllabus of all other subjects of Electronics & Instrumentation Engineering, 2021 regulation curriculum do visit EIE 7th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n

          For all Electronics & Instrumentation Engineering results, visit Anna University EIE all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

          Applied Machine Learning detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the EIE students. […]<\/p>\n","protected":false},"author":2297,"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":[50,75],"tags":[],"class_list":["post-54776","post","type-post","status-publish","format-standard","hentry","category-7th-sem","category-eie"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/54776","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=54776"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/54776\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=54776"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=54776"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=54776"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}