This session is focused on using Azure AutoML for automated model training in classification tasks. Participants will discover how to leverage Azure AutoML, a powerful feature of Azure Machine Learning, to streamline the model development process. The session will cover the benefits of using AutoML for building machine learning models and guide participants through the steps of dataset preparation and formatting. They will learn how AutoML automatically explores algorithms, hyperparameters, and data preprocessing techniques to identify the best model. Participants will also explore model selection and evaluation within Azure AutoML, interpreting performance metrics for informed decision-making. They will witness a practical demonstration of deploying the trained AutoML classification model in Azure ML. By the end of the session, participants will have a clear understanding of how Azure AutoML simplifies and accelerates model creation in machine learning such as classification tasks, enabling them to leverage AutoML effectively for automating model training using Azure ML.
Abdul Raheem is a passionate senior computer science student with expertise in Machine Learning and deep learning. He is the founder of three international communities on COMSATS. He is also an active open-source contributor and loves to simplify complex topics in his blogs and videos.
We seek to provide a respectful, friendly, professional experience for everyone, regardless of gender, sexual orientation, physical appearance, disability, age, race or religion. We do not tolerate any behavior that is harassing or degrading to any individual, in any form. The Code of Conduct will be enforced.
All live stream organizers using the Global Azure brand and Global Azure speakers are responsible for knowing and abiding by these standards. Each speaker who wishes to submit through our Call for Presentations needs to read and accept the Code of Conduct. We encourage every organizer and attendee to assist in creating a welcoming and safe environment. Live stream organizers are required to inform and enforce the Code of Conduct if they accept community content to their stream.
If you are being harassed, notice that someone else is being harassed, or have any other concerns, report it. Please report any concerns, suspicious or disruptive activity or behavior directly to any of the live stream organizers, or directly to the Global Azure admins at firstname.lastname@example.org. All reports to the Global admin team will remain confidential.
We expect local organizers to set up and enforce a Code of Conduct for all Global Azure live stream.
A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.