Syllabus Artificial Intelligence Pdf Machine Learning Artificial Machine learning is a method of data analysis that automates analytical model building. intensive knowledge oriented course provided to build business models for analytics. Programme: b.sc., artificial intelligence & data science eligibilty duration: programme outcomes: candidates who have studied mathematics in hsc are eligible for this programme.
B Tech Artificial Intelligence Curriculum And Syllabus Pdf Syllabus: modelling with linear programming – the simplex method, sensitivity analysis, integer linear programming: branch and bound technique – transportation model and its variants, network model: cpm and pert deterministic and non deterministic inventory models. Learn how big data analytics & ai are disrupting and transforming a range of industries. gain a practical understanding of the application of machine learning by using data science tools at the elementary level. explore the implications of ai from an ethical point of view. It includes 14 lectures covering topics like introduction to ai, search techniques, knowledge representation, logic, neural networks, decision trees, and population based search. it also lists 14 programming projects corresponding to each lecture. Ai in business analytics: demand forecasting, customer segmentation, and recommendation systems. algorithmic trading, fraud detection, and risk management. use of ai for optimizing business operations, marketing, and customer service. impact of ai on financial decision making and automated systems.
Syllabus Pdf Analytics Artificial Intelligence It includes 14 lectures covering topics like introduction to ai, search techniques, knowledge representation, logic, neural networks, decision trees, and population based search. it also lists 14 programming projects corresponding to each lecture. Ai in business analytics: demand forecasting, customer segmentation, and recommendation systems. algorithmic trading, fraud detection, and risk management. use of ai for optimizing business operations, marketing, and customer service. impact of ai on financial decision making and automated systems. Ai for data analytics automate and enhance the data analysis process with artificial intelligence (ai). in this course, you'll learn how to utilize ai tools to collect, preprocess, analyze, visualize, and interpret data without the need for extensive coding knowledge. group classes in live online and onsite training is available for this course. Syllabus unit 1 6 introduction: introduction to artificial intelligence, background and applications, turing test, weak ai, strong ai, narrow ai, artificial general intelligence, ai, rational agent approaches to ai, introduction to intelligent agents, their structure, behavior and task environment. unit 2 12. Ai: search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics — conditional independence representation, exact inference through variable elimination, and approximate inference through sampling. Unit 4 asynchronous sequential circuits: fundamental mode and pulse mode circuits analysis and design.
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