BCA in Artificial Learning & Machine Learning (AL-ML) at UNIQUE COMPUTERS - Course, Fees, Admission, Seats, Syllabus

When designing a curriculum for a Bachelor of Computer Applications (BCA) program with a focus on Artificial Intelligence (AI) and Machine Learning (ML) it is important to cover aspects of computer science, mathematics and statistics as well as delve into specialized topics, in AI and ML. Given the nature of these fields it is crucial to incorporate both traditional approaches and modern advancements. Here is an organized outline of subjects that could be included in the UNIQUE COMPUTERS BCA program specializing in Artificial Learning & Machine Learning (AL ML); **Linear Algebra**; This subject covers vectors, matrices, eigenvalues and eigenvectors. **Calculus**; In calculus we learn about differentiation, integration, partial derivatives and gradient descent. **Probability and Statistics**; This area includes the basics of probability theory various distributions, statistical significance testing and hypothesis testing. **Discrete Mathematics**; Discrete mathematics deals, with logic set theory and combinatorics. "In the field of AI and ML there are techniques that can be employed. In learning we have linear regression, logistic regression, decision trees, random forests and support vector machines. On the hand unsupervised learning involves clustering, dimensionality reduction techniques like principal component analysis (PCA) and k means clustering. Neural networks and deep learning delve into the basics of networks and explore architectures such as CNNs, RNNs, GANs. Additionally we touch upon backpropagation. Reinforcement learning introduces us to concepts like Markov decision processes well as methods like Q learning and policy gradient methods. Lastly advanced topics, in AI and ML touch upon natural language processing."