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Tooling for Machine Learning: AWS Products, Open Source Tools, and DevOps Best Practices (Tech Briefing)

Class Sessions

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Class Description



 

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 & Introductions: 3:20 - 3:30 PM

Keynote Presentation + Q&A: 3:30 - 4:15 PM

Wrap up & Networking: 4:15 - 4:45 PM