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Lecture 4: Estimating Bayes Error; Minimax and Neymann-Pearson classifiers
Related
Lecture 20
Lecture 31: Solving Ordinary Differential Equations
Lecture 14: Computation of Critical Depth
Lecture 32: Mod-01 Lec-32 Probability Models using Log Normal and Exponential Distribution
Lecture 23: PERL - III
Lecture 20: Orthogonal Decomposition of Signal Subspaces
Lecture 3
Factors and Multiples
Pythagorean Theorem
6-10
Adobe Photoshop Tutorials
Limits of Numbers/Functions
Lecture 4: Classical Control Overview - III
Lecture 25
Lecture 9: Biofuels: run buses on old cooking oil - Stagecoach - I
Lecture 7: Insert/Save data to database
Lecture 24: Radial Basis Function Networks: Cover's Theorem
Lecture 3: Naming and Storing
Lecture 5: Fluid Statics - 3
Lecture 12: Analysis of Strain VI
Lecture 7
Lecture 21: Self Assembly of Nanostructures - I
Graphing Linear Equations
Lecture 40: Course Review and Conclusion
Lecture 21: Photoshop Tutorial : TV Logo Design
Lecture 41
Computer Hardware
Fibonacci Sequence
Lecture 12: Curves I
Lecture 23: Bending of Beams - II
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