تحميل Mathematics basics of Machine learning

Mathematics
2023-11-16

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عدد الدروس 41

قسم Mathematics

يوجد صيانة لقسم تحميل الدورات لذلك يمكنك مشاهدة الدورة بشكل مباشر من هنا بدلا من التحميل لحين الانتهاء من صيانة القسم

• 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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4.4

13 Reviews

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Djamal Khelifi

Excellent course

2025-06-07

Sumit Rakesh Pawar

nice explain

2024-11-29

Sakshi Patil

good

2024-11-28

Tejas Lotan Mali

tejas

2024-11-28

Saurabh Devidas Badgujar

Very nice course

2024-11-28

Tejas Borse

jsfsDG

2024-11-28

Prerna Patil

Great

2024-11-26

Pravin Mali

good course

2024-11-26

Saurabh Sanjay Yeole

waffefa

2024-11-25

Pranav Chopade

good

2024-11-24

Vivek Narendra Patil

its good

2024-11-21

Uday Patil

very good teaching

2024-11-20

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