This course offers a practical introduction to Artificial Intelligence and Machine Learning (AI/ML) for non-technical business leaders. It helps business domain experts better assess the potential of AI/ML for their businesses, avoid common pitfalls when implementing AI/ML in their organisations and initiate and execute successful data driven projects.
Introduction to the 4 Types of data analytics and the high level overview of terminology: artificial intelligence (AI), machine learning (ML) and predictive and generative AI
Introduction to Supervised Learning and Decision Tree Algorithm / Churn Exercise (marketing) / Loan Exercise (credit risk)
Introduction to basic concepts of Expert Systems and AI Applications. Exploration of areas of intersection between two concepts: Smart Process Automation
ML Problem Framing / ML Canvas
Data preparation /exercise AirBNB (pricing use case)
Unsupervised Learning / Chennai Hotels Reviews exercise (text analysis)
Amir Tabakovic – Strategist, Innovator, Investor in ML Technology, Chair of Expert Group Data Privacy and AI at Mobey Forum, Guest lecturer at ICEMD and ESADE
