Computer Science Engineering is one of the subjects, specifically related to AI and ML. Topics explored are many and serve as a base to understand intelligent systems and algorithms. Core subjects comprise mathematical concepts that are based on linear algebra, probability, and statistics to create models and data analysis.
They will have knowledge about the algorithms and data structures with core computer programming topics such as supervised learning, unsupervised learning, neural networks, deep learning, and reinforcement learning.
Pratical knowledge includes implementation using some popular machine learning libraries like TensorFlow, PyTorch, Scikit-learn, and use cases in the natural language processing field or computer vision field or even robotics by applying AI and ML on real-life issues. Further, students cover model evaluation techniques, optimization methods, and ethics of AI. The curriculum integrates both theoretical concepts and hands-on applications, preparing students for careers in AI, ML, and data science.
