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Course 4: Unsupervised Machine Learning
A course on extracting hidden patterns, structures, and groupings from unlabeled data.
What's this Course About?
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Simplifying Complex Data
Learn how to use Principal Component Analysis (PCA) to reduce multiple variables into simple maps, uncover hidden patterns, and guide better business decisions. -
Clustering vs. Filtering
Understand the difference between scientific market clustering and basic filtering, and gain tools to define and profile market niches using data analysis techniques. -
Practical, Consultant-Level Skills
Apply methods across two technologies with hands-on practice, enabling you to track pattern evolution and act as a consultant rather than just an expert.
Eng. Walid Semaan
Walid Semaan is an MIT-certified data scientist and AI business strategist with four verified certificates in Data Science and Machine Learning, Machine Learning with Python, Artificial Intelligence for Business Strategy, and Natural Language Processing. He is the founder and president of Matrix TRC’s Data Science and AI Academy, developed two extensive university programs in partnership with American University of Science and Technology and the Lebanese American University, where he co-leads the executive diploma in Data Science, Deep Learning, and AI Solutions in partnership with SAS.
Walid holds degrees in engineering (ESIB), finance and marketing (ESCP), and an MBA from Paris-Dauphine–Sorbonne. He is the creator of the award-winning Triple One Analytics AI platform, recognized as Best Innovative ICT Project at the Arab Golden Chip Awards in 2011. With more than 100 international executive training missions and thousands of teaching hours across master’s programs and Ph.D. research.
He has trained and advised leading institutions worldwide, including the Central Bank of Lebanon, PwC (Dubai), SCAD (Abu Dhabi), Smart Dubai, OXY Petroleum (Oman), Sanofi–Merck Group (Amsterdam), and the Ministry of Health (KSA), among many others. His passion lies in equipping professionals and organizations with advanced Data Science and AI tools to drive innovation and impact.
