AI Weekend Opening Ceremony

Technical Workshop I: Parkinson's disease detection using Machine Learning

The aim of this workshop is to introduce you to the concept of binary classification which will be used to build a diagnostic model to detect Parkinson's disease using speech signals.
After completing this workshop, you will: 1- Develop an intuition of the theory behind Logistic Regression Classifier. 2. Understand how to frame the problem as a classification problem. 2- Learn about feature selection, data cleaning and standarization. 3- Build, train, and evaluate your own medical diagnostic model, using Python and Scikit-Learn on Google Colab
This workshop assumes a prerequisite of basic programming background..

Break

Meetup I: How is AI fundamentally changing how businesses operate in the 21st century

The confluence of four technologies—elastic cloud computing, big data, artificial intelligence, and the internet of things — is fundamentally changing how business and government will operate in the 21st century. Join Jean-Paul Sacy in our first talk as you will cover how these game-changing technologies are accelerating digital transformation across different sectors and becoming a new vector for differentiation and competitiveness for SMEs as well as large enterprises that are applying AI and IoT with stunning results. This will be followed by a 15 minute networking session with AI Weekend attendees and experts.

Business AI Workshop I: IoT telematics Data: Big Data Insight from the vehicle to the customer

Oshkosh Corp as being the world leading manufacturer of specialty vehicles started the journey of connecting its vehicles. Streaming the vehicles data near real-time can add much value to its customers. Their current near real-time data streaming helps their customers to better manage their fleet, vehicle maintenance and utilization, and leads to lower the cost of ownership. In addition to the near real-time streaming, the data is being analyzed to build predictive models to provide customers with predictive decisions like maintenance, vehicle current utilization, and life of parts. In this workshop, with Moe Saleh, you will go over how Oshkosh achieved this IoT journey and the analytic models on the truck from end to end.

Day I Wrap up

Day II Commencement

Technical Workshop II: Facial Emotion Recognition using Convolutional Neural Networks

In this workshop, Malak Sayour will introduce you to Deep Learning for computer vision applications. You will complete a step-by-step hands-on exercise where you predict emotions based on facial expressions using Convolutional Neural Networks (CNNs).
By the end of this workshop, you will: 1. Understand the structure of Neural Networks and the components needed to train them. 2. Learn about CNNs, their different layers and their suitability for computer vision applications. 3. Build an image classifier using Keras on Google Colab to predict emotions based on facial expressions.
This workshop assumes a prerequisite of basic programming background and fundamental understanding of Machine Learning concepts.

Break

Meetup II: AI use in trading the financial markets

In our second AI Weekend talk, you will get to meet Piotr Yordanov. As AI helps find trading opportunities in the markets and then acts on them in the hope of making money, Piotr will be introducing you to How AI is being used by hedge funds and retail traders to find an edge in the financial markets. This will be followed by a 15 minute networking session with AI Weekend attendees and experts.

Business AI Workshop II: Machine Learning Use Cases at Anghami

This workshop will provide you with a dive into the Machine Learning and Data Science use-cases at Anghami by three ML/R&D engineers. The workshop will mainly cover: analyzing user behavior to drive churn prediction, generating live music recommendations that enhance user listening experience, solving the cold start problem for music and users, automating the model generation processes, and personalizing search results.

Day II Wrap up

Day III Commencement

Technical Workshop III: Arabic Sentiment Analysis using HuggingFace TransformersProcessing

In this workshop, Wissam Antoun will introduce cutting-edge Natural Language Processing (NLP) models such as Transformers and BERT by Google, GPT2 by OpenAI, RoBERTa by Facebook. The objective of this workshop is to learn how to leverage these models to solve various NLP tasks in any language including Arabic for sentiment analysis.
By the end of this workshop, you will: 1. Learn how to train and evaluate NLP models 2. Learn how to serve these models in a deployment pipeline through a RestAPI. 3. Use the HuggingFace library on PyTorch and TensorFlow for Arabic sentiment analysis.
This workshop assumes a prerequisite of basic programming background in Python, and some basic knowledge of NLP.

Break

Discussion Panel: Leaders and AI

In this discussion panel, get introduced to Lebanese leaders who are making an impact everyday in their industries. Learn from them how AI is implemented in their company’s culture and products.

Business AI Workshop III: Social Media Analytics for Market Research

This workshop will help you learn how to use social media analytics to reinforce the business start-up process. In this workshop, you will get introduced to different AI methods that would help business owners evaluate their customer's satisfaction with their products. You will do that by analyzing online sentiment based on Twitter data streaming.

AI Weekend Closing Ceremony