Department of Machine Learning

The Department of Machine Learning is an essential part of the Artificial Intelligence training program, playing an important role in equipping students with the knowledge and skills needed to develop modern AI systems. With the goal of providing a solid theoretical foundation in machine learning to the application of advanced algorithms and models, the subjects aim to develop innovative solutions to solve complex real-world problems.

The subjects in the Department of Machine Learning are designed to lead students from the basic concepts of artificial intelligence and machine learning to advanced techniques such as deep learning, optimization and big data mining. Students will be equipped not only with the ability to understand how AI systems learn from data but also with the skills to optimize models, develop advanced methods to solve and optimize practical problems. In addition, the subjects also focus on developing critical thinking, creativity and effective problem-solving skills. By learning how to tune models for optimal performance and applying modern techniques such as deep learning, data mining, and reinforcement learning, students will be prepared to tackle complex real-world problems.

The courses in the Department of Machine Learning provide students with a solid foundation for AI applications in a wide range of fields such as healthcare, finance, transportation, and many others. By being able to analyze data and apply machine learning models to real-world scenarios, students will be well-prepared to meet the demands of the job market and the ever-evolving nature of AI technology, and will contribute to the formation of innovative and pioneering AI professionals in the technology industry.