Full Stack Deep Learning
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Full Stack Deep Learning
Course Content
Setting up Machine Learning Projects
Infrastructure and Tooling
Data Management
Overview
Sources
Labeling
Storage
Versioning
Processing
Machine Learning Teams
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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GitBook
Processing
What are efficient ways to process your data?
Processing - Data Management
Summary
The simplest thing we can do is a
Makefile
to specify what action(s) depend on.
You will probably need a workflow management system.
Airflow
is the current winner of this space.
Try to keep things simple and don't over-engineer your processing pipeline.
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Versioning
Next - Course Content
Machine Learning Teams
Last modified
3yr ago
