Learning AI/ML: Is University the best place to do it?
With many teaching resources available online, including reputable Machine Learning courses like the one on Coursera, people might be tempted to think that they can learn AI/ML by themselves, and they do not need a university degree to become a professional. Is it really the case? In this discussion with faculty members from UK and US we will try to find this out.
Resources
- AI edge engineer - Learn | Microsoft Docs
- Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics): Gift, Noah: 9780134863863: Amazon.com: Books
- Introducing Microsoft and Udacity’s New Training Collaboration and the Machine Learning Scholarship Program for Microsoft Azure | Udacity
- Artificial Intelligence: Cloud and Edge Implementations (Online) | Oxford University Department for Continuing Education
- Imperial College London
- DevOps Engineer for Microsoft Azure Online Course (udacity.com)
- Data Scientist - Learn | Microsoft Docs
Lee Stott
Principal Program Manager, Academic Ecosystem, Microsoft
Ajit Jaokar
Course Director - Artificial Intelligence, University of Oxford
Anandha Gopalan
Principal Teaching Fellow, Department of Computing, Imperial College London
Noah Gift
Lecturer, Graduate Data Science Program, UC Berkeley
Ayse Mutlu
Lead AI Tutor, University of Oxford
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