{"product_id":"9789391567163-4","title":"Introduction of Machine learning for GTU 18 Course (VII - ECE\/Elex. - 3171114) - Professional Elective - IV","description":"\u003cp\u003e1.Introduction to Machine Learning Introduction, Different Types of Learning, Hypothesis Space, Inductive Bias, Evaluation and Cross Validation (Chapter - 1) 2.Basic Machine Learning Algorithms Linear Regression, Decision Trees, Learning Decision Trees, K-nearest Neighbour, Collaborative Filtering, Overfitting (Chapter - 2) 3.Dimensionality Reduction Feature Selection, Feature Extraction (Chapter - 3) 4.Bayesian Concept of Learning Bayesian Learning, Naïve Bayes, Bayesian Network, Exercise on Naïve Bayes (Chapter - 4) 5.Logistic Regression and Support Vector Machine Logistic Regression, Introduction to Support Vector Machine, The Dual Formation, Maximum Margin with Noise, Nonlinear SVM and Kernel Function, SVM: Solution to the Dual Problem (Chapter - 5) 6.Basics of Neural Network Introduction to neural network, Multilayer Neural Network, Neural Network and Backpropagation Algorithm, Deep Neural Network (Chapter - 6) 7.Computation and Ensemble Learning Introduction to Computation Learning, Sample Complexity: Finite Hypothesis Space, VC Dimension, Introduction to Ensembles, Bagging and Boosting (Chapter - 7) 8.Basic Concepts of Clustering Introduction to Clustering, K-means Clustering, Agglomerative Hierarchical Clustering (Chapter - 8)\u003c\/p\u003e","brand":"Technical Publications","offers":[{"title":"Default Title","offer_id":46827639439531,"sku":"11958556644","price":275.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0620\/3355\/9723\/files\/9789391567163_3_aeae7231-62f3-4878-bb32-b41a2e620342.jpg?v=1778224593","url":"https:\/\/technicalpublications.in\/products\/9789391567163-4","provider":"Technical Publications","version":"1.0","type":"link"}