Artificial Intelligence and machine learning - What's the buzz?
Learn about Artificial intelligence (AI), machine learning (ML), predictive analytics (PA), and how they differ from other related concepts.
...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.
1 Credit
Online Learning
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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
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Timothy F. Gearty
Faculty for Becker Programme: Technology: Artificial intelligence, blockchain, cybercrime
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Timothy F. Gearty
Faculty for Becker Programme: Technology: Artificial intelligence, blockchain, cybercrime
ACADEMIC FOCUS
Tim is a partner in Gearty & McIntyre, LLP, CPA, a firm which has developed a reputation as a specialist in business advisory services, litigation support and forensic accounting.
EXPERIENCE
Tim Gearty is the National Director and Editor-in-Chief for the world’s largest CPA training program, Becker CPA Review. In addition to his editorial leadership, Tim is also Becker's National Lead Instructor, whose taped lectures are seen in over 325 loca
Dr. Preethi Kesavan
IT
ACADEMIC FOCUS
Dr. Preethi Kesavan has attained her PhD from the University of Canberra.
EXPERIENCE
Preethi has extensive teaching and learning, school administration and executive oversight of strengthening a high-quality student experience, enriching global mobility, enhancing academic quality and professional staff effectiveness. She is a contemporar
Ann Dzuranin
Faculty for Becker Programme: Performing and interpreting data analytics
ACADEMIC FOCUS
Dr. Ann C. Dzuranin is the KPMG Endowed Professor of Accountancy at Northern Illinois University. She earned her B.S. from Fairleigh Dickinson University, her MBA from New York University and her Ph.D.from the University of South Florida.
EXPERIENCE
Ann is a CPA (NJ) with 15 years of experience in both public and corporate accounting.
