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Linear Algebra
English
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M4ML - Linear Algebra - 1.1 Introduction: Solving data science challenges with mathematics
Resources
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Playlist (37 of 37 videos)
Playlist (37 of 37 videos)
1
M4ML - Linear Algebra - 1.1 Introduction: Solving data science challenges with mathematics
5:55
2
M4ML - Linear Algebra - 1.2 Motivations for linear algebra
3:31
3
M4ML - Linear Algebra - 1.3 Getting a handle on vectors
9:06
4
M4ML - Linear Algebra - 1.4 Operations with vectors
11:29
5
M4ML - Linear Algebra - 1.5 Summary
1:06
6
M4ML - Linear Algebra - 2.1 Introduction to module 2: Vectors
0:50
7
M4ML - Linear Algebra - 2.2 Part 1: Modulus & Inner Product
9:34
8
M4ML - Linear Algebra - 2.2 - Part 2: Cosine & Dot Product
5:54
9
M4ML - Linear Algebra - 2.2 - Part 3: Projection
6:48
10
M4ML - Linear Algebra - 2.3 Changing basis
11:25
11
M4ML - Linear Algebra - 2.4 Part 1: Basis, vector space, and linear independence
4:14
12
M4ML - Linear Algebra - 2.4 Part 2: Applications of changing basis
3:29
13
M4ML - Linear Algebra - 2.5 Summary
1:20
14
M4ML - Linear Algebra - 3.1 Matrices, vectors, and solving simultaneous equation problems
5:32
15
M4ML - Linear Algebra - 3.2 Part 1: How matrices transform space
5:42
16
M4ML - Linear Algebra - 3.2 Part 2: Types of matrix transformation
8:39
17
M4ML - Linear Algebra - 3.2 Part 3: Composition or combination of matrix transformations
9:00
18
M4ML - Linear Algebra - 3.3 Part 1: Solving the apples and bananas problem: Gaussian elimination
8:01
19
M4ML - Linear Algebra - 3.3 Part 2: Going from Gaussian elimination to finding the inverse matrix
8:39
20
M4ML - Linear Algebra - 3.4 Determinants and inverses
10:37
21
M4ML - Linear Algebra - 3.5 Summary
1:00
22
M4Ml - Linear Algebra - 4.1 Einstein summation convention and the symmetry of the dot product
9:54
23
M4Ml - Linear Algebra - 4.2 Part 1: Matrices changing basis
11:15
24
M4ML - Linear Algebra - 4.2 Part 2: Doing a transformation in a changed basis
4:38
25
M4ML - Linear Algebra - 4.3 Orthogonal Matrices
6:41
26
M4ML - Linear Algebra - 4.4 The Gram-Schmidt process
6:08
27
M4ML - Linear Algebra - 4.5 Example: Reflecting on a plane
14:11
28
M4ML - Linear Algebra - 5.1 Welcome to Module 5!
8:15
29
M4ML - Linear Algebra - 5.2 What are eigenvalues and eigenvectors?
4:25
30
M4ML - Linear Algebra - 5.3 Special eigen-cases
3:33
31
M4ML - Linear Algebra - 5.4 Calculating eigenvectors
10:08
32
M4ML - Linear Algebra - 5.5 Changing to eigenbasis
5:53
33
M4ML - Linear Algebra - 5.6 Eigenbasis example
7:27
34
M4ML - Linear Algebra - 5.7 Introduction to PageRank
8:45
35
M4ML - Linear Algebra - 5.8 Summary
1:15
36
M4ML - Linear Algebra - Wrap up of this Linear Algebra course
1:57
37
Mathematics for Machine Learning - Linear Algebra - Full Online Specialism
3:50:40
