Course
Mathematics for Data Science
In the βMathematics for Data Scienceβ course you will find 3 blocks: linear algebra, probability theory and mathematical analysis.
You will learn the basics of higher mathematics, analyze machine learning problems, and consolidate your knowledge in practice.
Carefully watch video lessons based on notes and study text materials.
Good luck!
What will we learn on the course?
Module
Linear algebra
Module
Mathematical analysis
Module
Theory of Probability and Mathematical Statistics
Path to AI
Learn the necessary mathematics and statistics to master machine learning and data analysis to be a successful specialist.
Curriculum
Linear algebra
Mathematical analysis
Theory of Probability and Mathematical Statistics
Linear algebra
In the βLinear Algebraβ block, you will learn the basic terms, concepts and methods of linear algebra, which will help you both in understanding the structure of existing ML models and methods for training them, and, possibly, in developing new ones.
Section structure:
1
Vectors on a plane
2
Vectors in space
3
Linear transformations on the plane
4
Linear transformations in space
Mathematical analysis
In this block, you will study the properties of functions for artificial intelligence models, and also understand how differentiation and integration helps a computer accurately solve complex problems.
Section structure:
1
Types of functions
2
Limits
3
Derivatives
4
Gradient Descent
Theory of Probability and Mathematical Statistics
Probability theory and mathematical statistics are a branch of mathematics that works with random events and processes, and allows one to predict the outcomes of different situations based on accumulated experience.
Section structure:
1
Probabilistic models, events and probability
2
Random variables and their distributions
3
Basic characteristics of random variables and samples
4
Limit characteristics and mathematical statistics
F.A.Q.
Who will benefit from this course?
The course will be useful for both beginners and those who want to develop in the field of Data Science. During the training process, students will gain knowledge of the basics of higher mathematics, understand its application in machine learning problems, and consolidate their knowledge with the help of tests and practical problems.
Is it possible to study modules out of order?
The course consists of three sections: linear algebra, mathematical analysis and probability theory. Sections can be completed either independently of each other or sequentially. It is recommended to complete all modules sequentially for a comprehensive study of the materials.
If I have questions during the process, what should I do?
Under each topic there is an opportunity to ask questions in the comments, so if you have any, donβt hesitate to ask them there.
Project organizer: Charitable Foundation βInvestment to the Futureβ, OGRN 1157700017518
The Academy of Artificial Intelligence for Schoolchildren is not an educational service subject to licensing and does not imply the issuance of a state certificate
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