تحميل Mathematics basics of Machine learning
Mathematics
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Tutorial 01 Course Outline of Linear Algebra | Mathematics of Machine Learning
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Tutorial 02 Vector vs Scalar vs Point
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Tutorial 03 Vector Operation in Linear Algebra | Vector Addition Subtraction Scalar Multiplication
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Tutorial 04 Vector Norm in Linear Algebra | L1 Norm L2 Norm Infinity Norm of Vector
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Tutorial 05 Unit Vector and Position Vector in Linear Algebra
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Tutorial 06 Dot Product of two Vectors | Vector multiplication in Linear Algebra
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Tutorial 07 Cross Product of two vectors | Vector multiplication in Linear Algebra
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Tutorial 08 Vector Projection in Linear Algebra | Vector Projection Application in Machine Learning
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Tutorial 09 Types of Vector in Linear Algebra | Vectors in Machine Learning
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Tutorial 10 Vector Space in Linear Algebra | Vector Space in machine learning
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Tutorial 11 Linear Combination of the vector | Spanning Set of a vector space
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Tutorial 12 Linearly Dependent and Linearly Independent Vectors in Linear Algebra
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Tutorial 13 Line VS Plane Vs Hyperplane in Linear Algebra | Point Segment Colinear Copular
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Tutorial 14 Practical Linear Algebra for Machine Learning Python
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Tutorial 15 Matrix and its Types in Linear Algebra | Important types of Matrix in Machine Learning
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Tutorial 16 Matrix Addition Subtraction and Scalar Multiplication
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Tutorial 17 Matrix Multiplication | Inner Product Cross Product of Matrix | Hadamard product matrix
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Tutorial 18 Matrix Operations in Linear Algebra | Matrix Power Rank Determinant Inverse
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Tutorial 19 Linear Equation and System of Linear Equation in Linear Algebra for Machine Learning
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Tutorial 20 Eigenvalue and Eigenvector in Linear Algebra for Machine Learning
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Tutorial 21 Linear Transformation in Linear Algebra | Linear Map for Machine Learning
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Tutorial 22 Image and Kernel of a Linear Transformation for Machine Learning
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Tutorial 23 The Gram Schmidt Process | Gram Schmidt Orthogonalization Process in Linear Algebra
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Tutorial 24 Eigendecomposition of a matrix in Linear Algebra for Machine Learning
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Tutorial 25 Matrix Norm in Linear Algebra | 1 Norm Infinity Norm Frobenius Norm Euclidean Norm
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Tutorial 26 Matrix Operations in Linear Algebra | Matrix Operations using Numpy Python with Example
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Tutorial 27 Rank Inverse Trace Flatten Eigenvalues and Eigenvectors of Matrix using Python
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Tutorial 28 LU Decomposition Method in Linear Algebra for Machine Learning
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Tutorial 29 Singular Value Decomposition in Linear Algebra for Machine Learning
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Tutorial 30 Pseudo Inverse vs Singular Value Decomposition | Pseudo Inverse of a Matrix
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Tutorial 31 Practical LU Decomposition Singular Value Decomposition and Pseudo Inverse using Python
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Tutorial 32 Fisher Discriminant Analysis FDA Maths | FDA vs LDA
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Tutorial 33 Part 1 Linear Discriminant Analysis Mathematics and Working | LDA in Machine Learning
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Tutorial 34 Part II Linear Discriminant Analysis using IRIS dataset in PYTHON | LDA using Python
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Tutorial 35 Part I Maths behind PCA | Principal Component Analysis in easy way
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Tutorial 36 Part II Principal Component Analysis using IRIS dataset in Python | PCA using Python
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Tutorial 37 Part I Nine Distance Measure in Machine Learning | Euclidean cosine Hamming distance
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Tutorial 38 Part II Nine Distance Measure in Machine Learning | Minkowski Manhattan Chebyshev in ML
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Tutorial 39 Part III Nine Distance Measure in Machine Learning | Jaccard Haversine Sørensen Dice
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Tutorial 40 Part IV Nine Distance Measure in Machine Learning using Python
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Tutorial 41 Congratulations Course Completion on Linear Algebra
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