Microsoft 2023 Immersive Practical AI Masterclass For Nigerians
Be among the leading data scientists and machine learning engineers who will gather at the ?Microsoft Nigeria office, Ikoyi, Lagos?on?Friday, 16th June 2023.
The masterclass is an immersive hands-on masterclass and thorough step-by-step guidance into the world of Responsible AI Dashboard and its various tools, frameworks, and functionalities.
This exclusive session requires pre-registration and full confirmation of attendance.
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About Microsoft
Microsoft Corporation is an American multinational technology company with headquarters in Redmond, Washington. It develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and related services. Its best known software products are the Microsoft Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers. Its flagship hardware products are the Xbox video game consoles and the Microsoft Surface lineup of touchscreen personal computers... read more
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Microsoft Immersive Practical AI Masterclass
Aim and Benefits of Microsoft Immersive Practical AI Masterclass
You will learn how to;
- Debug machine learning models by identifying model errors, diagnosing why those errors are happening, and mitigating them.
- Engage with a comprehensive, easy-to-use interactive dashboard that facilitates model evaluation through error analysis, data representation exploration, fairness assessments, and model interpretability.
- Make confident and responsible data-driven decisions.
Requirements for Microsoft Immersive Practical AI Masterclass Qualification
You need your laptop on-site for this hands-on session.
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Application Deadline
Not Specified
How to Apply
Interested and qualified? Go to
Microsoft on forms.office.com to apply
Event Schedule:
Date: Friday 16th June, 2023
Venue: Microsoft Nigeria Office, 24, Glover Road, Ikoyi, Lagos
Participant can only join one of the sessions:
Stream 1 Session Time: 9 AM -12 PM
Stream 2 Session Time: 12 PM – 3 PM
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