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EVALUATION S CHEME & SYLLABUS FOR

Note Open E DR e: 1. The Stustudied 2. * It is TraineOElective List R. shall cthe same coumandatory ted Faculty (wOPEN EII (VII Semes. ABDUUTALUATOPAICT[Effectchoose an opeurse in any fthat for thesewho had doneELECTIV ster) 2021-2UL KALTTAR PTION SCPEN ELEATE MODtive fromen Elective fform during e subjects (Ke the FDP foVES II L22 LAM TEPRADECHEMEFOR ECTIVESS PER DEL CUm the Sfrom the list the degree pKOE069, KOEor these courLIST 20 ECHNIESH, LU E & SYLS II LIST URRICUS ession:2in such a , KOE08rses) will teac021-22 ICAL UUCKNOLLABU ULUM 2021-22anner that h 87,KOE097 ch the coursPageUNIVEROW US 2] he/she has no& KOE098) ses. e 1 RSITY ot only OPEN ELECTIVES II LIST 2021-22 Open Elective List II (VII Semester) 2021-22 Page 2 VII Semester (2021-22) OPEN ELECTIVE-II KOE071 FILTER DESIGN KOE072 BIOECONOMICS KOE073 MACHINE LEARNING KOE074 RENEWABLE ENERGY RESOURCES KOE075 OPERATIONS RESEARCH KOE076 VALUE RELATIONSHIP & ETHICAL HUMAN CONDUCT- FOR A HAPPY & HARMONIOUS SOCIETY KOE077 DESIGN THINKING KOE078 SOIL AND WATER CONSERVATION ENGINEERING KOE078 INTRODUCTION TO WOMEN S AND GENDER STUDIES OPEN ELECTIVES II LIST 2021-22 Open Elective List II (VII Semester) 2021-22 Page 3 KOE-071 FILTER DESIGN 3L:0T:0P 3 Credits COURSE OBJECTIVE: Students undergoing this co

classifier, Bayesian belief networks, EM algorithm. 8 IV Computational Learning Theory: Sample Complexity for Finite Hypothesis spaces, Sample Complexity for Infinite Hypothesis spaces, The Mistake Bound Model of Learning; INSTANCE-BASED LEARNING – k-Nearest Neighbour Learning, Locally Weighted Regression, Radial basis function

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  Model, Regression, Algorithm, Em algorithm

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