Unreal Engine 5, A to Z for Beginners, Only Blueprints!
SW School
$38.50
Beginner / unreal-engine5, unreal-blueprint
5.0
(3)
Beginner's Guide to Creating Your First Game Using Only Blueprints Without Coding
Beginner
unreal-engine5, unreal-blueprint
This course is a hands-on program for practicing the fundamentals of machine learning mathematics and statistics using Python. While machine learning and deep learning require programming skills, a mathematical background is essential to understand the underlying principles. Through this course, you can step-by-step master the foundational mathematics required for artificial intelligence!
52 learners
Level Beginner
Course period 12 months


Differentiation using Python
Probability and Statistics using Python
Basic competencies in mathematics for artificial intelligence
Basic Python syntax is used to conduct theory and practice on calculus, linear algebra, probability, and statistics.
While running toward a new career development, from data analysis to artificial intelligence,
Did you feel that a foundation in mathematics is necessary to grasp the principles?
Let's build a solid foundation from theory to practice, covering everything from calculus and linear algebra to probability and statistics.
(*This course is the theoretical version; the practical version requires a separate enrollment.)
Understanding basic function terminology
Comparison of mathematical functions and programming functions
Practice expressing functions for various types of data
Definition of the concept of linear functions
Identifying various non-linear functions
Concept and definition of derivatives
Understanding derivatives
Geometric meaning of differentiation
Linear Algebra
Understanding operations, inverse matrices, and the equation of a line
Understand the differences between scalars, vectors, and matrices
Understand square matrices, inverse matrices, identity matrices, and transposed matrices.
Identify the scope of what can be achieved through statistics-based data analysis
Representing data distribution
Understanding the concepts of trials requiring probability, sample spaces, and events
Understanding the characteristics of normal distribution
Calculating probability values with data
Since this course is divided into theory and practice, you must register for each course separately.
An understanding and foundation of basic Python functions are required.
Who is this course right for?
Those who are non-majors and do not understand the principles of Python functions
Those who want to build a solid foundation in mathematics and statistics.
Someone who is just about to start programming
People who want to study the basic elements required for Python programming
Need to know before starting?
I need an understanding of basic Python syntax.
All
9 lectures ∙ (2hr 54min)
All
2 reviews
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