Tooling for Machine Learning: AWS Products, Open Source Tools, and DevOps Best Practices (Tech Briefing)
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Location:
Turing Auditorium, Polya Hall, Room 111
Join Squadex in a discussion on what can and cannot be automated in Machine Learning. Topics include the benefits and limitations of commercial offerings from AWS and opensource projects, such as:
- Kubernetes
- Kubeflow
- Jupiter notebooks
- TensorFlow
- TPOT
Special guests
- Stepan Pushkarev, CTO at Squadex
- Rinat Gareev, Machine Learning Engineer at Squadex
- Iskandar Sitdikov, Machine Learning Engineer at Squadex
Agenda
- Doors Open + Refreshments: 3:00 – 3:20 PM
- Welcome and Introductions: 3:20 - 3:30 PM
- Keynote Presentation + Q and A: 3:30 - 4:15 PM
- Wrap up and Networking: 4:15 - 4:45 PM
Custom training workshops are available for this program
Technology training sessions structured around individual or group learning objectives. Learn more about custom training
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Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.
