Write your awesome label here.
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?
-
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
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.
