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Machine Learning and AI applications
10 May @ 09:00 - 14 May @ 17:00 EDT$3500
ABOUT THIS COURSE
Managing physical assets in today’s digitized, networked environments can be readily improved through data science. In this five-day course, you’ll learn how to analyze operational and maintenance data from a variety of sources. You’ll examine asset-management processes and strategies, and identify those most relevant to your organization. You’ll probe applications of machine learning and artificial intelligence, evaluate their suitability, and implement basic machine learning algorithms in Python. You’ll emerge better prepared to lead your organization through the Industry 4.0 revolution.
Course Brochure: 3705 ML & AI Applications in Physical Asset Management
WHAT YOU’LL LEARN
- Describe the main components of Industry 4.0, their key benefits and drawbacks
- Evaluate asset management processes and strategies, and identify those most relevant to your organization
- Identify potential applications of machine learning and artificial intelligence in maintenance and reliability problemEvaluate suitability of different machine learning algorithms for a variety of applications
- Implement some basic machine learning algorithms in Python
Professor Chi-Ghun Lee, PhD (UofT), Dr. Janet Lam (UofT), Dr. Ali Zuashkiani (PAMCO), James Reyes-Picknell (Conscious Asset)