Tooling for Machine Learning: AWS Products, Open Source Tools, and DevOps Best Practices (Tech Briefing)
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
University IT Technology Training sessions are available to a wide range of participants, including Stanford University staff, faculty, students, and employees of Stanford Hospitals & Clinics, such as Stanford Health Care, Stanford Health Care Tri-Valley, Stanford Medicine Partners, and Stanford Medicine Children's Health.
Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.
