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입문
Linux, Shell Script
This course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.
18 learners are taking this course
Taxi fare prediction using pseudoinverse matrix
Data representation using functions
Understand the concepts of probability, required trials, sample space, and events.
Calculate probability values from data and infer posterior probabilities for specific events.
We will use Python's basic grammar to cover the theory and practice of differentiation, linear algebra, probability, and statistics .
Have you been pursuing a new career in fields like data analysis and artificial intelligence, but felt the need for a solid foundation in mathematics to understand the principles? Build a solid foundation from theory to practice, covering everything from differentiation, linear algebra, probability, and statistics.
*This course is a practical course, so please complete the theory section before taking it.
Understand basic function terminology
Comparing mathematical and programming functions
Practice functional expressions on various data
Definition of the concept of linear function
Understanding various nonlinear functions
Differentiation Concepts and Definitions
Understanding derivatives
Geometric meaning of differentiation
linear algebra
Understanding operations, inverse matrices, and equations of lines
Understand the difference between scalars, vectors, and matrices
Understand square matrices, inverse matrices, identity matrices, and transpose matrices.
Understanding the scope of what is possible through statistical data analysis
Data distribution representation
Understand the concepts of trials, sample spaces, and events that require probability.
Understanding the characteristics of the normal distribution
Calculating probability values with data
Since this course is divided into theory and practice, you must apply for each course separately.
You need to have a basic understanding and knowledge of basic Python functions.
Who is this course right for?
For people who are just starting out with programming
People who want to study the basic elements required for Python programming
Need to know before starting?
I recommend this to those who have completed the basics of mathematical statistics (theory) for non-majors.
I need to understand basic Python syntax.
All
5 lectures ∙ (2hr 6min)
$26.40
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