download скачать Free download скачать : Udemy - Mathematical Foundations of Machine Learning
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:4.53 GB

Files Included :

002 What Linear Algebra Is.mp4 (133.01 MB)
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003 Plotting a System of Linear Equations.mp4 (39.85 MB)
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004 Linear Algebra Exercise.mp4 (24.91 MB)
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005 Tensors.mp4 (8.89 MB)
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006 Scalars.mp4 (92.08 MB)
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007 Vectors and Vector Transposition.mp4 (49.2 MB)
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008 Norms and Unit Vectors.mp4 (64.87 MB)
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009 Basis, Orthogonal, and Orthonormal Vectors.mp4 (8.95 MB)
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010 Matrix Tensors.mp4 (45.25 MB)
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011 Generic Tensor Notation.mp4 (27.15 MB)
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012 Exercises on Algebra Data Structures.mp4 (6.49 MB)
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001 Segment Intro.mp4 (1.99 MB)
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002 Tensor Transposition.mp4 (10.27 MB)
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003 Basic Tensor Arithmetic, incl  the Hadamard Product.mp4 (18.3 MB)
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004 Tensor Reduction.mp4 (7.66 MB)
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005 The Dot Product.mp4 (15.97 MB)
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006 Exercises on Tensor Operations.mp4 (12.76 MB)
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007 Solving Linear Systems with Substitution.mp4 (14.71 MB)
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008 Solving Linear Systems with Elimination.mp4 (17.55 MB)
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009 Visualizing Linear Systems.mp4 (29.91 MB)
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001 Segment Intro.mp4 (3.23 MB)
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002 The Frobenius Norm.mp4 (15.71 MB)
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003 Matrix Multiplication.mp4 (70.5 MB)
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004 Symmetric and Identity Matrices.mp4 (8.61 MB)
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005 Matrix Multiplication Exercises.mp4 (11.8 MB)
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006 Matrix Inversion.mp4 (74.53 MB)
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007 Diagonal Matrices.mp4 (8.22 MB)
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008 Orthogonal Matrices.mp4 (11.25 MB)
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009 Orthogonal Matrix Exercises.mp4 (95.09 MB)
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001 Segment Intro.mp4 (70.6 MB)
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002 Applying Matrices.mp4 (18.78 MB)
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003 Affine Transformations.mp4 (95.94 MB)
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004 Eigenvectors and Eigenvalues.mp4 (202.27 MB)
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005 Matrix Determinants.mp4 (45.41 MB)
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006 Determinants of Larger Matrices.mp4 (53.89 MB)
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007 Determinant Exercises.mp4 (27.38 MB)
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008 Determinants and Eigenvalues.mp4 (89.32 MB)
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009 Eigendecomposition.mp4 (83.95 MB)
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010 Eigenvector and Eigenvalue Applications.mp4 (75.77 MB)
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001 Segment Intro.mp4 (15.76 MB)
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002 Singular Value Decomposition.mp4 (76.64 MB)
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003 Data Compression with SVD.mp4 (96.98 MB)
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004 The Moore-Penrose Pseudoinverse.mp4 (97.74 MB)
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005 Regression with the Pseudoinverse.mp4 (134.17 MB)
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006 The Trace Operator.mp4 (38.79 MB)
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007 Principal Component Analysis (PCA).mp4 (64.83 MB)
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008 Resources for Further Study of Linear Algebra.mp4 (31.68 MB)
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001 Segment Intro.mp4 (23.66 MB)
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002 Intro to Differential Calculus.mp4 (52.48 MB)
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003 Intro to Integral Calculus.mp4 (15.93 MB)
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004 The Method of Exhaustion.mp4 (53.6 MB)
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005 Calculus of the Infinitesimals.mp4 (75.31 MB)
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006 Calculus Applications.mp4 (70.12 MB)
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007 Calculating Limits.mp4 (102.37 MB)
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008 Exercises on Limits.mp4 (30.43 MB)
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001 Segment Intro.mp4 (2.18 MB)
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002 The Delta Method.mp4 (45.92 MB)
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003 How Derivatives Arise from Limits.mp4 (65.98 MB)
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004 Derivative Notation.mp4 (11.91 MB)
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005 The Derivative of a Constant.mp4 (9.33 MB)
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006 The Power Rule.mp4 (2.77 MB)
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007 The Constant Multiple Rule.mp4 (6.92 MB)
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008 The Sum Rule.mp4 (8.56 MB)
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009 Exercises on Derivative Rules.mp4 (32.45 MB)
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010 The Product Rule.mp4 (10.1 MB)
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011 The Quotient Rule.mp4 (8.92 MB)
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012 The Chain Rule.mp4 (17.38 MB)
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013 Advanced Exercises on Derivative Rules.mp4 (38.78 MB)
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014 The Power Rule on a Function Chain.mp4 (19.22 MB)
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001 Segment Intro.mp4 (2.99 MB)
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002 What Automatic Differentiation Is.mp4 (12.19 MB)
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003 Autodiff with PyTorch.mp4 (14.89 MB)
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004 Autodiff with TensorFlow.mp4 (11.26 MB)
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005 The Line Equation as a Tensor Graph.mp4 (116.61 MB)
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006 Machine Learning with Autodiff.mp4 (213.14 MB)
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001 Segment Intro.mp4 (126.82 MB)
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002 What Partial Derivatives Are.mp4 (180.39 MB)
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003 Partial Derivative Exercises.mp4 (26.87 MB)
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004 Calculating Partial Derivatives with Autodiff.mp4 (28.81 MB)
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005 Advanced Partial Derivatives.mp4 (43.86 MB)
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006 Advanced Partial-Derivative Exercises.mp4 (14.1 MB)
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007 Partial Derivative Notation.mp4 (4.45 MB)
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008 The Chain Rule for Partial Derivatives.mp4 (19.14 MB)
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009 Exercises on the Multivariate Chain Rule.mp4 (13.84 MB)
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010 Point-by-Point Regression.mp4 (90.7 MB)
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011 The Gradient of Quadratic Cost.mp4 (54.08 MB)
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012 Descending the Gradient of Cost.mp4 (72.02 MB)
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013 The Gradient of Mean Squared Error.mp4 (166.45 MB)
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014 Backpropagation.mp4 (22.92 MB)
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015 Higher-Order Partial Derivatives.mp4 (30.26 MB)
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016 Exercise on Higher-Order Partial Derivatives.mp4 (5.57 MB)
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001 Segment Intro.mp4 (4.41 MB)
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002 Binary Classification.mp4 (16.47 MB)
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003 The Confusion Matrix.mp4 (4 MB)
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004 The Receiver-Operating Characteristic (ROC) Curve.mp4 (18.43 MB)
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005 What Integral Calculus Is.mp4 (36.79 MB)
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006 The Integral Calculus Rules.mp4 (8.71 MB)
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007 Indefinite Integral Exercises.mp4 (4.74 MB)
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008 Definite Integrals.mp4 (12.1 MB)
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009 Numeric Integration with Python.mp4 (13.01 MB)
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010 Definite Integral Exercise.mp4 (16.87 MB)
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011 Finding the Area Under the ROC Curve.mp4 (7.74 MB)
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012 Resources for the Further Study of Calculus.mp4 (7.56 MB)
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013 Congratulations!.mp4 (33.81 MB)
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001 Probability & Information Theory.mp4 (51.7 MB)
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002 A Brief History of Probability Theory.mp4 (11.87 MB)
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003 What Probability Theory Is.mp4 (12.79 MB)
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004 Events and Sample Spaces.mp4 (44.09 MB)
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005 Multiple Independent Observations.mp4 (29.5 MB)
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006 Combinatorics.mp4 (41.06 MB)
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007 Exercises on Event Probabilities.mp4 (34.82 MB)
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008 More Lectures are on their Way!.mp4 (7.63 MB)
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