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Machine learning|LU decomposition problem|module-2|BCS602 important question|ML Problem|VTU|eduyodha

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Machine learning|LU Decomposition problem|BCS602 important questions|ML Problems|VTU|eduyodha Follow the ENGINEERING IN KARNATAKA ✪ channel on WhatsApp: https://whatsapp.com/channel/0029Vb27q0JKwqSbZewkPh1r 🚀 VTU Machine Learning Module 2 Explained in Simple & Easy Way! In this video of VTU Machine Learning Module 2, we cover important concepts like Covariance, Correlation, Gaussian Elimination Method, LU Decomposition, PCA, LDA, SVD, Find-S Algorithm, Candidate Elimination Algorithm, General-to-Specific Ordering, and Specific-to-General Ordering with easy explanations and examples. This video is useful for VTU CSE, ISE, AI & ML students preparing for exams, internals, viva, and placements. 📚 Perfect for: VTU Machine Learning Notes VTU ML Module 2 Machine Learning for Beginners Engineering Exam Preparation AI & ML Students 🔍 Searchable Keywords: VTU machine learning module 2 Machine learning module 2 VTU Covariance and correlation in machine learning Gaussian elimination method explained LU decomposition in machine learning PCA explained simply Principal Component Analysis VTU LDA machine learning explained Linear Discriminant Analysis tutorial SVD explained in simple words Singular Value Decomposition VTU Find S algorithm in machine learning Candidate elimination algorithm explained General to specific ordering Specific to general ordering Machine learning algorithms VTU VTU AIML notes ML module 2 explained Machine learning easy explanation Engineering machine learning tutorial ML for beginners VTU exam preparation machine learning ML important questions VTU Machine learning Kannada Machine learning English AI and ML concepts explained Supervised learning algorithms Machine learning full syllabus VTU ML module 2 important topics #MachineLearning #VTU #VTUML #MachineLearningVTU #Covariance #Correlation #GaussianElimination #LUDecomposition #PCA #LDA #SVD #FindSAlgorithm #CandidateElimination #ArtificialIntelligence #AIML #EngineeringStudents #VTUNotes #MLModule2 #MachineLearningAlgorithms #PrincipalComponentAnalysis #LinearDiscriminantAnalysis #SingularValueDecomposition #DataScience #AI #MLTutorial #VTUExam #Engineering #CSE #ISE #AIMLStudents #MachineLearningForBeginners #SupervisedLearning #VTUSyllabus #MLNotes #CollegeExams #Education #EDUYODHA

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christy_cooper 2 weeks, 2 days ago

Mam , what if the number is more than 3. Do we have to keep the same 3 or change if the number is more than 3.

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aprilclark960 2 weeks, 2 days ago

Mam row matrix na ond sala change madidmele innod sala change mado hagilla antha helidralla idu U matrix gu apply agutta? Like U matrix allinu already nav change madidre matte change mado hagilla antha Please reply madi

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kimberlyechoing26 2 weeks, 3 days ago

We can use r3---> 3r3-2r2 but we will get ans as -2 instead of 2/3 what to do

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anastasiegermain638 2 weeks, 3 days ago

mam r2=r2 - 3r1=for L it shoed as =0 - 3(1)=-3 but you have done 3 for both row 2 and 3

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stéphane.perrin 2 weeks, 4 days ago

In converting a32 to 0, can't we just add 2 to make it 0? R-> R+2 R -> -2+2 = 0

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marcelladörschner483 2 weeks, 6 days ago

Ma'am shld we also do alg for each of these topics ma'am ???

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andrea_hodges 3 weeks, 1 day ago

Pls make 1 shot numericals for all modules...Pls upload for all modules machine learning as we have bcm601 first paper is machine learning on Tuesday...pls pls pls upload all numericals plssss

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gabriela.miranda 3 weeks, 6 days ago

Plz upload bis601 FSD