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Course Duration:
  1 Credit
Mode of Study:
  Online Learning
  Certificate
  Upon successful completion of the module, student will receive an e-certificate by London School of Business and Finance.
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Fee:
S$39.15

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Artificial intelligence (AI), machine learning (ML), predictive analytics (PA), and how they differ from other related concepts. Models, what they mean, and how they are used in ML and PA. Different PA models (algorithms), with an understanding of where and when each algorithm can be applied. A case study demonstrating an application of a specific PA algorithm—namely, classification trees. We recommend using Google Chrome.

 

Instructor bio

Matt Pickard, Ph.D. earned a B.S. in Computer Science, an MBA from Brigham Young University and a Ph.D. in Management Information Systems from the University of Arizona. Before moving to Illinois to be a Professor of Accounting Data and Analytics at Northern Illinois University, he worked at the University of New Mexico, where he taught accounting information systems and developed the accounting data and analytics curriculum.
 
He has provided data and analytics training for a variety of organizations, including the City of Santa Fe, Sandia National Labs, the Information Systems Audit and Control Association (ISACA) Albuquerque Chapter and the Illinois Society of Association Executives. His MIS Ph.D. had a heavy data mining and analytics emphasis and was the start of his love for data and analytics. He finds data fascinating and is both overwhelmed and exhilarated to be living in this information age. He and his wife, Laura, are the parents of four beautiful girls. He enjoys woodworking and nature.

This course will be an overview of: Artificial intelligence (AI), machine learning (ML), predictive analytics (PA), and how they differ from other related concepts. Models, what they mean, and how they are used in ML and PA. Different PA models (algorithms), with an understanding of where and when each algorithm can be applied. A case study demonstrating an application of a specific PA algorithm—namely, classification trees. WE RECOMMEND USING GOOGLE CHROME.

Anyone who is interested in learning about Artificial Intelligence and Machine Learning

After completing this course, the learner should be able to:

1) Define and differentiate between artificial intelligence (AI) and machine learning (ML) and related buzz words.

2) Identify problems in their business that are well-suited for AI and ML.

3) Identify types of AI and ML models that address a specific business problem.

YOUR IT LECTURERS

  • Timothy F. Gearty

    Timothy F. Gearty

    Faculty for Becker Programme: Technology: Artificial intelligence, blockchain, cybercrime

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  • Dr. Preethi Kesavan

    Dr. Preethi Kesavan

    IT

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  • Ann Dzuranin

    Ann Dzuranin

    Faculty for Becker Programme: Performing and interpreting data analytics

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