Subjects / Artificial Intelligence: Machine Learning with St Joseph University (USJ) / Dr. George Sakr
Dr. George Sakr

SUBJECT: Artificial Intelligence: Machine Learning with St Joseph University (USJ)


  • 400 USD

STUDENT: Alumni & Professionals

LANGUAGE: English, Spoken Arabic

DAYS: Tuesdays & Thursdays



CERTIFICATE: 1 Certificate after 10 sessions


Artificial Intelligence: Machine learning

Tuesdays & Thursdays, 5pm to 8pm, 10 sessions (3 hours per session), Online

June 30 - July 30, 2020

Price: $400

Key Benefits:

Harness the power of machine learning algorithms for classification and regression problems in supervised and unsupervised situations.

Learning Outcomes:

The participants will be able to Implement and apply the following algorithms to real world problems:

  • Feature Selection & Ranking
  • Neural networks for image classification
  • Hyperparameters fine-tuning
  • Decision Tree and Random Forest for credit card fraud detection
  • Recurrent Neural Network for machine translation
  • Neural Network for text analysis and sentiment analysis
  • Reinforcement learning for game playing
  • Image Segmentation
  • Self-Driving Car Localization with Hidden Markov Models


  • Keras
  • Tensorflow
  • Python

Dr. George E. Sakr received the BE degree (with distinction) in electrical and electronics engineering from Lebanese University, Roumieh, in 2005, the MS degree in networking and telecommunications from the joint program between the Lebanese University and St. Joseph University of Beirut in 2007 and the PhD degree in Machine Learning from the American University of Beirut in 2011. Between 2011 and 2015 George was a Lecturer at AUB and the Lebanese American University as well as a post-doctoral fellow at the Medical Center of the American University of Beirut where he worked on applying machine learning for precision medicine. Since 2015, George has been an assistant professor at St Joseph University of Beirut. His research interests include artificial intelligence, machine learning, human machine interfacing, and application of machine learning for precision medicine. He is a member of the IEEE since 2008. He has more than 20 journal and conference publications in the domain of machine learning and heart healthcare.


Registration fees:
  • 400 USD