{"id":6224,"date":"2024-04-04T10:12:16","date_gmt":"2024-04-04T10:12:16","guid":{"rendered":"https:\/\/www.inspirenignite.com\/kl\/4342-machine-learning-neural-networks-syllabus-for-artificial-intelligence-machine-learning-4th-sem-2021-revision-sitttr\/"},"modified":"2024-04-04T10:12:16","modified_gmt":"2024-04-04T10:12:16","slug":"4342-machine-learning-neural-networks-syllabus-for-artificial-intelligence-machine-learning-4th-sem-2021-revision-sitttr","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/kl\/4342-machine-learning-neural-networks-syllabus-for-artificial-intelligence-machine-learning-4th-sem-2021-revision-sitttr\/","title":{"rendered":"4342: Machine Learning & Neural Networks Syllabus for Artificial Intelligence & Machine Learning 4th Sem 2021 Revision SITTTR"},"content":{"rendered":"

Machine Learning & Neural Networks detailed syllabus for Artificial Intelligence & Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs<\/a> official website and presented for the Artificial Intelligence & 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

For Artificial Intelligence & Machine Learning 4th Sem scheme and its subjects, do visit Artificial Intelligence & Machine Learning (AM) 4th Sem 2021 revision scheme<\/a>. The detailed syllabus of machine learning & neural networks is as follows. <\/p>\n

Course Objectives:<\/h4>\n

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Course Outcomes:<\/h4>\n

On completion of the course, the students will be able to:<\/p>\n

    \n
  1. Demonstrate supervised machine learning techniques<\/li>\n
  2. Demonstrate clustering and dimensionality reduction techniques<\/li>\n
  3. Demonstrate evaluation metrics for machine learning models<\/li>\n
  4. Demonstrate the concept of Artificial Neural Networks<\/li>\n<\/ol>\n

    Module 1:<\/h4>\n

    Machine Learning – Definition -Applications – Processes involved in Machine Learning, Machine Learning Techniques-Supervised Learning, Unsupervised Learning and Reinforcement Learning, Data preprocessing – Normalization, Missing value handling. Supervised Learning- Classification – Learning a Class from Examples, Logistic Regression – K-Nearest Neighbours – Support Vector Machine – Naive Bayes – Decision Tree – Random Forest Regression- Linear Regression -Multi Linear Regression\n<\/p>\n

    Module 2:<\/h4>\n

    For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>. <\/p>\n

    Module 3:<\/h4>\n

    Reinforcement learning: Key features- types – Markov Decision Process-Q learning Evaluation Measures: Regression: Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, R-squared. Classification: Accuracy, confusion matrix, precision, recall, F-Score, ROC-Curve. Clustering: Sum of Squared Error, Silhouette Coefficient, Dunn’s Index, Ensemble methods, Bootstrapping, Cross Validation.\n<\/p>\n

    Module 4:<\/h4>\n

    Artificial Neural Network: Neural network representation-Structure-Advantages, Perceptron, Training a perceptron, Multilayer perceptron, Back-propagation Algorithm. Recurrent Neural Networks. Loss function, Activation function, Batch normalization.\n<\/p>\n

    Text Books:<\/h4>\n

    For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>. <\/p>\n

    Online Resources<\/h4>\n
      \n
    1. https:\/\/www.javatpoint.com\/machine-learning-models<\/li>\n
    2. Introduction to Machine Learning – Course (nptel.ac.in)<\/li>\n<\/li>\n<\/ol>\n

      For detailed syllabus of all other subjects of Artificial Intelligence & Machine Learning (AM), 2021 revision curriculum do visit Artificial Intelligence & Machine Learning 4th Sem subject syllabuses for 2021 revision<\/a>. <\/p>\n

      To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus.<\/a>. <\/p>\n

      To see the results of Artificial Intelligence & Machine Learning (AM) of diploma 2021 revision curriculum do visit SITTTR diploma Artificial Intelligence & Machine Learning (AM) results.<\/a>. <\/p>\n

      For all Artificial Intelligence & Machine Learning academic calendars, visit Artificial Intelligence & Machine Learning all semesters academic calendar<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

      Machine Learning & Neural Networks detailed syllabus for Artificial Intelligence & Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the […]<\/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-6224","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\/6224","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=6224"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/6224\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/media?parent=6224"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/categories?post=6224"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/tags?post=6224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}