Full Stack Deep Learning
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Full Stack Deep Learning
Course Content
Setting up Machine Learning Projects
Infrastructure and Tooling
Data Management
Machine Learning Teams
Overview
Roles
Team Structure
Managing Projects
Hiring
Training and Debugging
Testing and Deployment
Research Areas
Labs
Where to go next
Guest Lectures
Xavier Amatriain (Curai)
Chip Huyen (Snorkel)
Lukas Biewald (Weights & Biases)
Jeremy Howard (Fast.ai)
Richard Socher (Salesforce)
Raquel Urtasun (Uber ATG)
Yangqing Jia (Alibaba)
Andrej Karpathy (Tesla)
Jai Ranganathan (KeepTruckin)
Franziska Bell (Toyota Research)
Corporate Training and Certification
Corporate Training
Certification
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Hiring
How to source Machine Learning talent? How to interview Machine Learning candidates? How to find a job as a Machine Learning practitioner?
Hiring - ML Teams

Summary

  • Machine Learning talent is scarce.
  • As a manager, be specific about what skills are must-have in the Machine Learning job descriptions.
  • As a job seeker, it can be brutally challenging to break in as an outsider, so use projects as a signal to build awareness.
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Managing Projects
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Training and Debugging
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Contents
Summary