Huawei Talent
Mathematics Basics is a pre-learning course for the HCIA-AI certification course. Math is indispensable basic knowledge for learning Artificial Intelligence technology. This course focuses on the basic knowledge of linear algebra, probability theory, mathematical statistics, and so on. By combining mathematical theories with examples, trainees can easily master related theories and understand the research fields of AI that these theories will be used.
Target Trainees
Anyone who wants to learn AI.
Course Objectives
After learning this course, trainees can master the basic theory of linear algebra, probability theory, mathematical statistics, and know where these mathematical theories are applied.
Completion Criteria
A total of 60 points or more in the course.
Certificate Standards
A total of 60 points or more in the course.
Frequently Asked Questions
Q: What browser should I use to study the course?
A: To ensure smooth learning, please use Google Chrome to open the course.
Course Outline
Introduction to Math Basics
Introduction to Math Basics
1. Mathematics and AI
Introduction
1.1 Mathematics and AI
Quiz
2. Linear Algebra
Introduction
2.1 Basic Concepts and Operations
2.2 Linear Transformation and Special Matrix
2.3 Matrix Decomposition
Quiz
3. Probability and Statistics
Introduction
3.1 Basic Concepts of Probability and Statistics
3.2 Random Variable and Probability Distribution
3.3 Law of Large Numbers and Law of Central Limit
3.4 Parameter Estimation and Hypothesis Test
Quiz
4. Optimization Problem
Introduction
4.1 Classification of Optimization Problem
4.2 Gradient Descent Method
4.3 Newton's method and Conjugate Gradient
Quiz
5. Basic Mathematics Experiment
Introduction
5.1 Basic Mathematics experiment
6. Linear Algebra Experiment
Introduction
6.1 Linear algebra experiment
7. Probability Theory Experiment
Introduction
7.1 Probability theory experiment
8. Optimization Experiment
Introduction
8.1 Optimization experiment
Final Exam
Final Exam
Training Materials
Training Materials
Experiment Manual
Satisfaction Survey
Satisfaction Survey
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