Department of Statistics
Add on Courses
Artificial Intelligence (AI) is an interdisciplinary field that involves developing intelligent machines that can perform tasks that normally require human intelligence. A value-added course in AI can provide students with advanced skills and techniques for designing and developing AI systems. This course is designed to provide students with advanced skills and techniques for designing and developing AI systems using machine learning and deep learning. The course will cover topics such as data preprocessing, supervised and unsupervised learning, deep neural networks, natural language processing, and computer vision.
Upon completion of this course, students will be able to:
- Develop advanced programming skills in Python
- Manipulate and analyze data using Python libraries, such as Pandas and NumPy
- Create interactive data visualizations using Matplotlib, Seaborn, and Plotly
- Conduct statistical analysis and modeling using Python libraries, such as SciPy and Statsmodels
- Implement machine learning algorithms for classification and regression problems using Python libraries, such as Scikit-learn and XGBoost
- Implement deep learning models using Python libraries, such as Keras and TensorFlow