BCA in Artificial Learning & Machine Learning (AL-ML) at Karnataka College of Management - Course, Fees, Admission, Seats, Syllabus

As of my recent update in April 2023 the detailed information about the courses offered by Karnataka College of Management for BCA in Artificial Learning & Machine Learning (AL ML) may not be readily accessible, without referring to the official curriculum provided by the institution. However I can offer you an overview of key subjects usually included in BCA programs specializing in Artificial Intelligence (AI) and Machine Learning (ML). These subjects are essential in educational institutions that offer similar courses; **Getting Started with Artificial Intelligence (AI) and Machine Learning (ML);** Exploring the history and development of AI Providing an overview of AI, ML and Deep Learning (DL) Highlighting the distinctions between AI, ML and DL **Programming for AI and ML;** Delving into Python programming (widely used in AI/ML) Discussing libraries and frameworks such as TensorFlow, PyTorch Keras **Mathematics for AI and ML;** Covering topics, like Linear Algebra Touching upon Calculus Discussing Probability and Statistics Exploring Optimization techniques **Data Structures and Algorithms;** Handling data preprocessing and cleaning tasks Understanding the algorithms and data structures to AI/ML **Machine Learning Algorithms;** Explaining Supervised learning methods (e.g. linear regression, logistic regression, decision trees, random forests, support vector machines)   Describing Unsupervised learning techniques (e.g., clustering, dimensionality reduction)   Introducing Reinforcement learning concepts**In Depth Learning;** Brain inspired networks Specialized Neural Networks like CNNs and RNNs GANs for generating content **Understanding Human Language;** Analyzing and processing written information Identifying emotions in text virtual assistants **Teaching Computers to See;** Techniques for analyzing images Detecting and recognizing objects in pictures **Ethical Considerations of AI;** Addressing bias and fairness in machine models Safeguarding privacy and security in AI systems Ethical dilemmas surrounding AI applications **Managing AI and ML Projects;** Stages of developing AI/ML projects Agile approaches for AI/ML initiatives Implementing and upkeeping AI/ML models ** Developments in Artificial Intelligence and Machine Learning;** Quantum computing advancements AIs impact on healthcare, finance, etc. Latest research breakthroughs, in AI and ML