Sessions
Introduction to Azure cognitive services in the Power Platform
SessionsI will talk in depth about azure cognitive services in the power platform and it's application. ...
iShare Donation Platform
SessionsThe best way is to adopt the idea of the sharing economy and decentralize the donation process like AirBnB or Uber without bottlenecks. iShare is a platform to make use of Azure Cognitive services to ...
AI-voice-assistant-using-python
SessionsThis session will explain how to build a voice assistant that will recognize and responds to voice commands. The VA will perform tasks such as telling the day, date, and time, opening applications and ...
Deep Computer Vision approach for Visual Quality Inspection
SessionsBenchmarking of different convolutional neural architectures of object detections to train with minimum data on minimum computational resources with minimum training time to achieve high accuracy in a ...
Muhammad Talha
PhD. Computer Science candidate at Michigan State University
AI Builder in Power Platform
SessionsArtificial Intelligence builder is one of the capabilities of Microsoft Power Platform that enables developers to add intelligence to their business solutions. It is a component that is built on Power ...
Dive into AI and create your 1st bot
SessionsIn this session, we will walk you through the basic concepts of AI. Get ready to build your 1st AI-powered chatbot using Bot Services and Bot Framework composer. A chatbot is an AI-powered software ...
Disaster Risk Monitoring Using Satellite Imagery
SessionsLearn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve the efficiency, and sig ...
Kevin McFall
Learn image segmentation from a Master Instructor from NVIDIA's Deep Learning Institute
Foundations of causal inference and open source causal analysis tools
SessionsMany key data science tasks are about decision-making. They require understanding the causes of an event and how to take action to improve future outcomes. Machine learning (ML) models rely on correla ...
Smart Parking in Modern Cities: Challenges & Solutions
SessionsThe presentation will address ML-related challenges of emerging intelligent parking guidance systems: parking lot occupancy detection and parking space availability forecasting. Along with the general ...
Breast Cancer prediction using automated ML
SessionsA mini-project related to « Breast Cancer prediction using AutomatedML », build the model, deploy it, and use it thanks to PowerBI desktop.😎 In this project, I chose to work with automatedMl to ...
Hadil Ben Amor
Engineering Student at SUP'COM & Gold Microsoft Learn Student Ambassador
AI in Tracking Air Quality
SessionsThe session will showcase a Nairobi-based project using AI to track air pollution in Kenya's capital city ...
Sifa Kinoti
Environmental Engineering Student
Introduction to Named Entity Recognition using Azure Language
SessionsHave you ever wondered how you can extract entities from unstructured text documents? Many modern applications, like processing of resumes, optimization of search engines and content recommendation ...
Hybrid Model Approach for Real-Time Acoustic Anomaly Detection using Time Series
SessionsDetecting anomalous behaviours help to find new knowledge of a given phenomenon since anomaly behaviours rarely occurred and give better insights to prevent those instances in the future. Usually, a ...
Training a Simple Recommender using Azure Machine Learning Studio
SessionsIn this session, Paschal will give us a walk-through on: • What a recommendation system is, • How to train a simple recommender using Azure Machine Learning Studio and, • How reinforcement learni ...
Airplane buddy matching using Azure Form Recognizer
SessionsLet's dive into the computer vision world by designing a system that can analyse the flight tickets and identify the other co-workers that will fly to the same destination as you. To be able to build ...
Towards Responsible AI
SessionsWhen we talk about AI, we usually mean a machine learning model that is used within a system to automate something. For example, a self-driving car can take images from sensors. A ML model can use ...
Data Science and AI in Africa: The Impact of Communities
SessionsIn recent times, Data Science and AI is growing drastically within African Communities and this is an effect of the continuous impact by different communities. In this session we will explore how ...
Machine Learning at Green In Tech
SessionsLet's learn to develop sustainable solutions with machine learning to improve our relationship with the environment ...
Nicolas Chavez
Microsoft Learn Student Ambassador
Automating my Dog with Azure Cognitive Services
SessionsLike many terrier owners, I have a problem. My dog is overworked from the constant need to monitor multiple streets to bark at squirrels or passers by. I'd like to free up more of his time and energy ...
The 4 Types of Machine Learning
SessionsAI and Machine Learning are all the rage, but did you know that there are at least four different methodologies for computers to learn? Some mimic the human brain, while others are based on statis ...
Generate out of the world images with Azure and Stabble Difussion
SessionsHave you always wanted to have a photo in space, swimming through Atlantis or soaring through the skies? Meet Stabble Difussion, a deep learning, text-to-image model that is primarily used to generate ...
Kevin McFall
Learn image segmentation from a Master Instructor from NVIDIA's Deep Learning Institute
Gabriela de Queiroz
Principal Cloud Advocate - AI/ML/DS
Noah Gift
Founder at Pragmatic AI Labs and Duke Executive in Residence
Ajit Jaokar
Visiting fellow: Department of Engineering Science - University of Oxford and Course Director: Artificial Intelligence: Cloud and Edge Implementations - University of Oxford
