Конкурс «Лучший преподаватель ВУЗа 2026». Лекции по дисциплине «Интеллектуальный анализ и визуализация данных» Асем Серикбаевны Шаяхметовой

Lecture 1

Fundamentals of data mining.

Lecture 1 presentation 

Lecture 2

Data Mining tasks. Data Mining as a component of the information technology market

Lecture 2 presentation 

Lecture 3

Data mining methods

Lecture 3 presentation 

Lecture 4

Technological methods of data mining. Statistical methods of data mining

Lecture 4 presentation 

Lecture 5

Cybernetic methods of data mining. Classification by data mining tasks

Lecture 5 presentation 

Lecture 6

Fundamentals of data analysis and visualization

Lecture 6 presentation 

Lecture 7

Clustering, forecasting and visualization tasks

Lecture 7 presentation 

Lecture 8

Decision trees

Lecture 8 presentation 

Lecture 9

Support vector machines. The “nearest neighbor” method

Lecture 9 presentation 

Lecture 10

The k-means algorithm. The data visualization task

Lecture 10 presentation 

Lecture 11

The process of applying intelligent technologies

Lecture 11 presentation 

Lecture 12

Main stages of data mining

Lecture 12 presentation 

Lecture 13

Main stages of data mining: free search, predictive modeling, deviation analysis

Lecture 13 presentation 

Lecture 14

Data analysis tools

Lecture 14 presentation 

Lecture 15

Applications of data mining in various research fields

Lecture 15 presentation