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Lstm, by Ramaseshan R

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Collocations, Dense Word Vectors, by Ramaseshan R

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Topic Modeling, by Ramaseshan R

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Query Processing, by Ramaseshan R

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Joint and Conditional Probabilities, Independence with Examples, by Ramaseshan R

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Machine Learning, Perceptron, Linearly Separable, by Ramaseshan R

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What are CBOW and Skip-Gram Models?, by Ramaseshan R

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Statistical Properties of Words-Part 02, by Ramaseshan R

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Gru, by Ramaseshan R

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Vector Space Models for NLP, by Ramaseshan R

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Translation Model, Alignment Variables, by Ramaseshan R

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Variants of Gradient Descend, by Ramaseshan R

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Beam Search, by Ramaseshan R

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Operations on a Corpus, by Ramaseshan R

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Introduction and Historical Approaches to Machine Translation, by Ramaseshan R

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Examples for Word Prediction, by Ramaseshan R

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Research Paper discussion on “Neural Machine Translation by Jointly Learning to Align and Translate”;, by Ramaseshan R

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Chain Rule and Markov Assumption, by Ramaseshan R

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Noisy Channel Model, Bayes Rule, Language Model, by Ramaseshan R

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Recap and Introduction, by Ramaseshan R

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Getting Started with MATLAB Online, by Ramancharala Pradeep Kumar

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Module 4: Resonant Frequency & Half Power Band Width, by Ramancharala Pradeep Kumar

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Module 2: Generation of Elastic Design Response Spectra, by Ramancharala Pradeep Kumar

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Module 2: Multi-Degree of Freedom System: Solution of Equilibrium Equation, by Ramancharala Pradeep Kumar

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Module 1: Response to Arbitrary Force, by Ramancharala Pradeep Kumar

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Module 1: Dynamics of Non Structural Elements, by Ramancharala Pradeep Kumar

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Module 1: Vibration of Continuous Systems, by Ramancharala Pradeep Kumar

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Module 3: Theory of Seismometer, by Ramancharala Pradeep Kumar

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Creating Uniformly Spaced Vectors (LINSPACE), by Ramancharala Pradeep Kumar

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Matrix Creation Functions, by Ramancharala Pradeep Kumar

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