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Course 3
Supervised Machine Learning
A hands-on course on building predictive models that learn from labeled data to make accurate forecasts and decisions.
What's this Course About?
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AI Foundations Made Accessible
With rapid technological advancements and automation tools, supervised machine learning models—at the core of AI decision-making—are now more accessible to practitioners. -
Comprehensive Workshop Content
The workshop covers key supervised ML algorithms, highlighting their role in enhancing predictions across multiple industries. -
Practical, Multi-Platform Application
Participants will gain hands-on experience with tools such as SAS, Alteryx, STATISTICA, and Python, equipping them to evaluate, select, and apply the most suitable solutions as professional practitioners and consultants.
Eng. Walid Semaan
Professor Walid Semaan is an MIT-certified data scientist and AI strategist with four certificates in Data Science, Machine Learning, AI for Business Strategy, and NLP. He is the founder and president of Matrix TRC’s Data Science and AI Academy, in partnership with the Lebanese American University, where he co-leads the executive diploma in AI and Deep Learning.
Holding degrees in engineering (ESIB), finance and marketing (ESCP), and an MBA from Paris-Dauphine–Sorbonne, Walid created the award-winning Triple One Analytics platform, recognized as Best Innovative ICT Project at the Arab Golden Chip Awards. With 100+ international consulting missions and thousands of teaching hours, he brings deep expertise in machine learning, generative AI, forecasting, and data visualization.
He has trained and advised top institutions worldwide, including the Central Bank of Lebanon, PwC, Smart Dubai, Sanofi–Merck, and the Ministry of Health (KSA). His mission is to equip professionals and organizations with advanced AI tools to drive innovation and impact.
