This course is a project-based course that studies basic techniques for abstracting data, creating algorithms that can access that data, and manipulating the abstract structure.
Artificial Intelligence (KA) or Artificial Intelligence (AI) is developing very quickly and has been widely used in several devices and systems in society and government.
In this course, concepts in probability theory will be studied including analysis of probability axioms, conditional probability, discrete and continuous random variables, basic and conditional
This lecture discusses the basics of machine learning, namely software development techniques that can produce models to explain complex phenomena by observing a number of
In this course, the concepts of multivariate statistics will be studied which include the basic concepts of multivariate statistics, matrices, vectors and their operations, as
In this course, concepts in probability theory will be studied including analysis of probability axioms, conditional probability, discrete and continuous random variables, basic and conditional