Browsing Technology by Subject "Artificial Intelligence (AI)"
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- ItemMetadata onlyIntroduction to Artificial Intelligence for IT and Non-IT Professionals(2021-05) Alvi, Zafar"Artificial Intelligence (AI) for IT and non-IT professionals" course targets both IT professionals and Non-IT professionals. The objective of the course is to introduce the basic concepts of Artificial intelligence to provide an overview of the basic AI techniques with the help of innovations such as a case study and simple examples as well as web graphics to keep the audience interested in the subject. Material is also included for more serious learners who may like to take it up further. The idea is also to remove the fear-factor among the general audience. Various artificial intelligence techniques such as knowledge representation, reasoning, and search strategy, rules, learning techniques, AI tools will be used to demonstrate the case study. Presented by Dr Zafar Alvi at the Virtual University of Pakistan.
- ItemOpen AccessMachine Learning for Everyone(2023-06) Zin, Abdullah Mohd; Mansor, Zulkifli; Kumar, Vivekanandan SThis course introduces Machine Learning to everyone. Machine learning is a subset of Artificial Intelligence (AI) that enables computer systems to learn and improve from experience without being explicitly programmed. It is done by developing computer programs that can access data and use it to learn for themselves. With the appropriate machine learning models, organisations can use these systems to continually observe changes in their business to predict what may be coming next. In this micro course, you will learn about machine learning, its techniques, and why it is important for all of us. This micro course presents machine learning concepts and techniques and the relation of machine learning to our everyday life in a way that anyone can understand. This course skips confusing academic jargon and offers clear explanations that require only basic mathematics. The online interactive version of the course is at https://colcommons.org/