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| Archived
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Mathematical Foundation for AI and Machine Learning [Video]\1.Introduction\01.Introduction.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\3.Multivariate Calculus\08.Introduction to Derivatives.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\3.Multivariate Calculus\09.Basics of Integration.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\3.Multivariate Calculus\12.Optimization.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\3.Multivariate Calculus\10.Gradients.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\3.Multivariate Calculus\11.Gradient Visualization.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\4.Probability Theory\17.Covariance Matrices in R.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\4.Probability Theory\16.Graphing Probability Distributions in R.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\4.Probability Theory\15.Expectation, Variance, and Covariance.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\4.Probability Theory\13.Intro to Probability Theory.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\4.Probability Theory\14.Probability Distributions.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\5.Probability Theory\18.Special Random Variables.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\2.Linear Algebra\05.Special Matrices and Vectors.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\2.Linear Algebra\06.Eigenvalues and Eigenvectors.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\2.Linear Algebra\04.Vectors, Matrices, and Tensors in Python.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\2.Linear Algebra\03.Vector and Matrix Norms.mp4
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Mathematical Foundation for AI and Machine Learning [Video]\2.Linear Algebra\07.Norms and Eigendecomposition.mp4
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