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Deep Learning (ML II)
MICRO-DEGREEThe course introduces building neural networks, reinforcement learning, probabilistic graphical models, and recursive networks, giving students a strong foundation in both current and alternative AI approaches.
Prof. Dr. Raad Bin Tareaf is a professor of Data Science. He previously served as a Professor of AI & Data Science at XU Exponential University. He holds a PhD in Data Science from the Hasso Plattner Institute, where his research focused on AI-driven personality prediction models and social media analytics. His academic background includes a Bachelor's degree in Computer Science from the German Jordanian University and a Master's degree in Enterprise System Engineering from Princess Sumaya University for Technology. Before academia, he gained industry experience at Bosch and Continental GmbH. His research interests include Data Science, Deep Learning, Social Media, and Online Networks, with notable publications on social media engagement and spam bot detection.
The course introduces building neural networks, reinforcement learning, probabilistic graphical models, and recursive networks, giving students a strong foundation in both current and alternative AI approaches.
In this module, students learn about the basics and advanced topics of big data and cloud computing technologies, platforms and systems, their design and implementation, and their utilization in industrial and commercial applications.
Professor
Senior Researcher