Anomaly Detection using azure services

 
Hindi Introductory and overview AI/ML

As a guest speaker, I will delve into the captivating realm of anomaly detection using Azure services. Join me in understanding the essence of anomalies and their pivotal role in data analysis. Together, we will explore the vast capabilities of Azure services, such as Azure Machine Learning for crafting powerful anomaly detection models, and Azure Monitor for real-time monitoring. Through best practices, captivating case studies, and hands-on knowledge, you will be equipped to harness the full potential of anomaly detection with Azure services.

AzureDTU
AzureDTU
View community info

Speaker

Neha Hafeez

Empowering Women to Empower a nation

Neha Hafeez is a driven and ambitious 3rd year software engineering student at Fatima Jinnah Women University. With a keen interest in technology, she is currently immersing herself in the study and exploration of data science and machine learning. As a Gold Microsoft Learn Student Ambassador and skilled community builder, Neha has organized and delivered multiple successful sessions. Her contributions to the Microsoft community have been recognized, and she was invited to speak at the University Recruiting Call hosted by Microsoft Reactor. Neha's remarkable achievements and dedication to her craft have earned her a prominent place on the Microsoft Learn Student Ambassador Page's main carousel.

Code of Conduct

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.

Who does this Code of Conduct apply to?

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.

Where can I get help?

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 team@globalazure.net. All reports to the Global admin team will remain confidential.

Code of Conduct for local live streams

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/.