Types of Machine Learning
This video is part of a series of microlearning courses aiming to provide insights into specific topics.
@ Aeroclass
Course description
When we make mistakes, we can learn. But when do machines know they made a mistake? In this course, we will explain machine learning, the types of it and different ways to train machine learning algorithms.
This video is part of the Artificial Intelligence in Commercial Aviation - Practices & Future Trends. To watch the full course and get your certificate click here.
Meet your instructor
Ricardo Pilon
Dr. Ricardo Pilon has over 25 years of experience in the Aviation Industry. His knowledge and expertise range from civil aviation and air transport to cargo and logistics domains. He worked for airlines such as Air Transat, KLM, Air New Zealand, Etihad, Emirates Airlines, and consulted with over 80 others.
He builds the bridge between strategic business management, organization design, and the application of artificial intelligence. His specialist work elevates business models to tap into new revenue streams through intelligent processes on Enterprise AI platforms. Most centers on marketplace retailing or B2B selling in unique contexts, using ML & AI to drive CX and stickiness with the maximum transactional and long-term value per customer.
Ricardo is an experienced business executive with practical leadership expertise. He focuses on corporate & business development, commercial strategy, and modern digital company (MarTech + SalesTech technology in B2B or B2C domains) with a strong focus on profit maximization.
Ricardo holds a Ph.D. in Business Administration (‘02) specialized in strategic airline management and has also completed an MBA in International Aviation (‘00), an MSc. in Air Transport Management (‘98), an MSc. in Applied Organizational Psychology (‘22), and a BSc. in International Management (‘96). He is also a Chartered Business Valuator (CBV) and Chartered Financial Analyst (CFA). Moreover, he has recently completed executive courses at Harvard Business School and MIT.
The high-performance organization is one designed around how people intuitively want to interact with the decision support [machines] they need to solve their curiosity as they obsess about customers.
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