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M.Tech. Marine Engineering
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Lecture 8: D Symmetries - II
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Lecture 3
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Lecture 9: PRAM
Lecture 6
Lecture 22
Lecture 6: An Overview of Gosynthetics
Lecture 17: Linear Discriminant functions for multi-class case; multi-class logistic regression
Lecture 19
Lecture 1: Tutorial
Lecture 1: introduction,The Motivation Applications of Machine Learning
SAT Prep: Test 7
Exponents (Khan Series)
Lecture 33: Adaptive step size Runge Kutta scheme
Lecture 37: Hetrojunction Bipolar Transistors (HBT)
Lecture 36
Lecture 35: Flexibilty Matrix & Influence Coeff
Lecture 5
Lecture 28: Seismic Hazard Analysis (continued) part –VI
Lecture 5: Relevant Basics of Linear Algebra, Vector Spaces
Lecture 12: Review: Poles and zeroes, phase and magnitude plots
Lecture 6: Git Workflow
Lecture 18: Understanding SSIS Architecture
Lecture 21: Routing - I
Lecture 32: Digital Integrated Circuits - II
Lecture 22: Microprogram Optimization
Lecture 10: Mod-01 Lec-10 Model Tests and Ship Resistance Prediction Methods III
Lecture 11: Bode Plot (contd.)
Lecture 12: Memory Organization
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