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Valerii Lebedev
Shahina Begum
Professor
Basic Knowledge on Machine Learning
October 4, 2026
The MOOC includes six modules:
- Fundamentals of AI: A brief, beginner-level, non-technical introduction to AI, covering its fundamentals, history, branches, types, and applications.
- Fundamentals of ML: Overview, goal, its types, algorithms, and applications.
- Introduction to Data: About data, datafication, data preparation, and feature extraction, providing a foundation for understanding, processing, visualising, and extracting insights from data.
- Mathematics: Essential mathematics for machine learning, covering set theory, linear algebra, and calculus, and developing the ability to apply these concepts to ML problems.
- Statistics and Probability: Essential statistical and probability knowledge needed to understand and apply machine learning concepts to practical problems.
- Programming Language Python: Basic Python programming and essential libraries for storing, manipulating, analysing, and visualizing data for machine learning.
Certificate
October 4, 2026
has successfully completed the course