ดาวน์โหลดคอร์สเรียน Linear Algebra for Data Science & Machine Learning in Python ฟรี
ข้อมูลไฟล์ (File Info) :
Published 5/2023
Created by Syed Mohiuddin
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 150 Lectures ( 9h 51m ) | Size: 2 GB
Vectors, Matrices, Systems of Linear Equations, Factorization, Eigenvectors, Least Squares, SVD
สิ่งที่คุณจะได้เรียนรู้ (What you’ll learn) :
Fundamentals of Linear Algebra
Applications of Vectors and Matrices with implementation in Python
Operations on Vectors and Matrices with implementation in Python
Solve Systems of Linear Equations and implementation in Python
Matrix Factorization and implementation in Python
Computation of Eigenvalues, Eigenvectors
Singular Value Decomposition with its implementation in Python
Eigen Decomposition with their implementation in Python
ข้อกำหนด (Requirements) :
You should have familiarity with fundamentals of Maths
All the implementation of Linear Algebra concepts are in Python, so familiarity with Python will be an added advantage
คำอธิบาย (Description) :
This course will help you in understanding of the Linear Algebra and math’s behind Data Science and Machine Learning. Linear Algebra is the fundamental part of Data Science and Machine Learning. This course consists of lessons on each topic of Linear Algebra + the code or implementation of the Linear Algebra concepts or topics.
There’re tons of topics in this course. To begin the course:
We have a discussion on what is Linear Algebra and Why we need Linear Algebra
Then we move on to Getting Started with Python, where you will learn all about how to setup the Python environment, so that it’s easy for you to have a hands-on experience.
Then we get to the essence of this course;
Vectors & Operations on Vectors
Matrices & Operations on Matrices
Determinant and Inverse
Solving Systems of Linear Equations
Norms & Basis Vectors
Linear Independence
Matrix Factorization
Orthogonality
Eigenvalues and Eigenvectors
Singular Value Decomposition (SVD)
Again, in each of these sections you will find Python code demos and solved problems apart from the theoretical concepts of Linear Algebra.
You will also learn how to use the Python’s numpy library which contains numerous functions for matrix computations and solving Linear Algebric problems.
So, let’s get started….
คอร์สนี้เหมาะกับใคร (Who this course is for) :
Anyone who is curious about how Linear Algebra is used in Machine Learning
Anyone who wants to understand Maths and Linear Algebra behind Data Science
Anyone who wants to develop fundamental foundations for deployment of Machine Learning Techniques
เนื้อหาหลักสูตร (Overview) :
Introduction
4 lectures • 7min
Getting Started with Python
2 lectures • 13min
Vectors
10 lectures • 45min
Operations on Vectors
14 lectures • 57min
Matrices
17 lectures • 1hr
Operations on Matrices
16 lectures • 1hr 3min
Matrix Determinant and Inverse
9 lectures • 31min
System of Linear Equations
8 lectures • 45min
Matrix Equations Ax=b
9 lectures • 48min
Norms
10 lectures • 28min
Basis Vectors
5 lectures • 24min
Linear Independence
4 lectures • 12min
Vector Subspaces
8 lectures • 35min
Matrix Factorization
5 lectures • 10min
Orthogonality
7 lectures • 23min
Eigenvalues and Eigenvectors
11 lectures • 43min
Single Value Decomposition
4 lectures • 9min
Least Squares Problem
5 lectures • 26min
Moore-Penrose Pseudoinverse
2 lectures • 10min
More Info
ตัวอย่างหลักสูตร (Course Preview)
File Info Official Website : https://www.udemy.com/course/linear-algebra-for-data-science-machine-learning-in-python-f/ License : FOR EDUCATIONAL PURPOSES ONLY File Name : Linear Algebra for Data Science & Machine Learning in Python.rar File Size : 2.14 GB File Type : *.rar Server : Google Drive Upload date : 07/05/2023 Last modified : 07/05/2023 Password : sbz
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