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Lecture 36: Introduction to Computational Learning Theory, by S. Sarkar

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Lecture 07 : Learning Decision Tree, by S. Sarkar

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Lecture 19: Naive Bayes, by S. Sarkar

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Lecture 20 : Bayesian Network, by S. Sarkar

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Lecture 16: Python Exercise on kNN and PCA, by S. Sarkar

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Lecture 22: Tutorial IV, by S. Sarkar

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TEM Imaging 1, by S. Sankaran

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XRD Tutorial-1, by S. Sankaran

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Probability Distributions, by S. Sankaran

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Basic Stereological Parameters Part 2, by S. Sankaran

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Factors Affecting Intensities of X-Ray Peaks, by S. Sankaran

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Lecture 20-Electron Channeling Contrast Imaging (ECCI) , Electron Back Scattered Diffraction (EBSD)-Theory & Instrument Demonstration, by S. Sankaran

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Counting of Grains and Particles Part 2, by S. Sankaran

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Lecture 15-SEM and its Mode of Operation-Continuation, Relation between Probe Current and Probe Diameter, Summary, by S. Sankaran

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Counting of Grains and Particles Part 4, by S. Sankaran

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Lecture 13 Interaction between Electrons and Sample, Imaging Capabilities, Structural Analysis, Elemental Analysis, by S. Sankaran

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Method of Stereology, by S. Sankaran

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Lecture 53-Quantitative Metallography-Tutorial 6, by S. Sankaran

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TEM Instrument Demonstration, by S. Sankaran

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Lecture 4-Lens Defects,Filters and Light Microscopy Introduction, by S. Sankaran

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Lecture 21-Tutorial Problems on SEM, by S. Sankaran

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Lecture 12-Lens Aberrations, Object Resolution, Image Quality, by S. Sankaran

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Effect of Crystallite Size and Strain on Intensity of X-Rays, by S. Sankaran

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Lecture 14-SEM and its Mode of Operation, Effect of Aperture size,Working Distance,Condenser Lens Strength, by S. Sankaran

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Stereology of Anisotropic Microstructures, by S. Sankaran

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Geometrical Probability – II, by S. Sankaran

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Lecture 10 Continuation-Tutorial Problems, by S. Sankaran

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XRD and Residual Stress Measurement-Lab Demonstration, by S. Sankaran

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Lecture 48-Quantitative Metallography-Tutorial 1, by S. Sankaran

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Lecture 16-Factors Affecting Interaction Volume, Demonstration of SEM, by S. Sankaran

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