Abu Dhabi Machine Learning Season 2 Episode 1

 12.10.2021 -  Abu Dhabi Machine Learning -  ~2 Minutes

When?

  • Tuesday, October 12, 2021 from 7:00 PM to 9:00 PM (Abu Dhabi Time)

Where?

  • At your home, on zoom. All meetups will be online as long as this COVID-19 crisis is not over.

Programme:

Talk 1: The analysis behind Bank Personal Loan Dataset

by Mohamed Hasan & Eslam Arnous

Abstract: Data Analysis to identify the potential customers who have a higher probability of purchasing the loan, which lead us to increase the success ratio of advertisement campaign while at the same time reduce the cost of the campaign.

Speakers will talk about the [SMOTE] technique, which is an oversampling method when working with imbalanced datasets.

Their slides.

Talk 2: Artificial Intelligence in Healthcare, HCI, IoT, Autonomous Driving, and Future Applications

by Prof. Abdenour Hadid, Total industrial chair of excellence, SCAI, Sorbonne University Abu Dhabi (SUAD)

Abstract: We are living in the era of big data. Data is everywhere and is continuously recorded and stored in our ordinary life. The key element for using such an immense body of data to benefit the society is through Artificial Intelligence (AI). Artificial intelligence has already dramatically transformed our society by new automation, prediction and analysis capabilities. Despite these impressive performances, AI models have been challenged from the lack of explainability. It is indeed hard to trust the predictions of AI without better understanding of the basis for the decisions made. The research questions associated with the use of AI are both exciting and numerous. How to explain the decision of AI systems? What are the basis for the decisions made by AI models? What impacts AI will have on our society? How to design secure and privacy-preserving machine learning algorithms for artificial intelligence applications? The presentation discusses some examples and issues related to the use of AI in healthcare, security and autonomous driving.

The slides can be found here.