1/ FSDL helps you turn ML experiments into shipped products with real-world impact.
This Spring, @josh_tobin_ @sergeykarayev & @pabbeel are teaching an improved version as an official Berkeley course: bit.ly/berkeleyfsdl
Want to follow along as we post lectures publicly?👇
This Spring, @josh_tobin_ @sergeykarayev & @pabbeel are teaching an improved version as an official Berkeley course: bit.ly/berkeleyfsdl
Want to follow along as we post lectures publicly?👇
2/ Sign up to receive updates on our lectures as they're released (and to optionally participate in a synchronous learning community): forms.gle/zqE2rjkfqex2AQ…
3/ We cover the full stack, from project management to MLOps:
- Formulating the problem and estimating cost
- Managing, labeling, and processing data
- Making the right HW and SW choices
- Troubleshooting and reproducing training
- Deploying the model at scale
- Formulating the problem and estimating cost
- Managing, labeling, and processing data
- Making the right HW and SW choices
- Troubleshooting and reproducing training
- Deploying the model at scale
4/ Deep Learning doesn’t stand still and neither do we. Some of what's new for 2021:
- Module on AI ethics and explainability
- Much more on data infra: spark, airflow, feature stores
- Deep dive on ML testing and monitoring
- Updates to infra and tooling (🤗, new GPUs, etc)
- Module on AI ethics and explainability
- Much more on data infra: spark, airflow, feature stores
- Deep dive on ML testing and monitoring
- Updates to infra and tooling (🤗, new GPUs, etc)
5/ Let us know if you have any other requests for topics to cover, and hope to see you online!
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