In Data Science, success depends on how efficiently teams can turn data into valuable insights and deploy models ❗
In our practical guide, you'll find six steps to ensuring that your team can do exactly that!
1. Automate routine tasks
2. Implement version control for data and models
3. Streamline experimentation
4. Speed up model deployment
5. Encourage collaboration and reusability
6. Continuously monitor and optimize workflows
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