InformIT – Linear Algebra for Machine Learning 2020-12 – Download

explanation

Linear Algebra for Machine Learning is a course on applying linear algebra to data science and machine learning published by InformIT Academy. In this course, you will learn about theoretical and practical problems in linear algebra and implement them in a completely practical way in projects related to machine learning. Machine learning and data science are two of the most popular fields in today’s digital world, and learning them can lead to many career opportunities.

What to Learn in Linear Algebra for Machine Learning

Knowledge of mathematical principles and applications of algebra in the field of machine learning.
Knowledge of the basics of linear algebra
Knowledge of different approaches to developing machine learning-based solutions.
In-depth understanding of the operating process of machine learning-based algorithms
Improved mathematical intuition
In-depth understanding of other topics related to machine learning, including calculus, statistics, and optimization algorithms.

Course specifications

Posted by InformIT
teacher: john crone
Language:English
Level: Intermediate
Number of classes: 58
Duration: 6 hours 32 minutes

course topic

Lesson 1: Orientation to Linear Algebra

Lesson 2: Data Structures in Algebra

Lesson 3: General Tensor Operations

Chapter 4: Solving Linear Systems

Chapter 5: Matrix Multiplication

Lesson 6: Special Matrices and Matrix Operations

Chapter 7: Eigenvectors and Eigenvalues

Unit 8: Determinants and Factorization

Lesson 9: Machine Learning with Linear Algebra

Linear Algebra Prerequisites for Machine Learning

math: Once you are familiar with secondary school level math, you will find this course easier to follow. If you’re good at dealing with quantitative information, such as understanding charts and rearranging simple equations, you should be well prepared to keep up with all the math.

programming: All code demos are in Python, so having experience with Python or another object-oriented programming language will help you follow along with the hands-on examples.