5. Integration
Containers, VMs, etc...
Why?
Status Quo?
Machine Learning Project Checklist
- 1. Frame the problem and look at the big picture.
- 2. Get the data.
- 3. Explore the data to gain insights.
- 4. Prepare the data to better expose the underlying data patterns to Machine Learning algorithms.
- 5. Explore many different models and short-list the best ones.
- 6. Fine-tune your models and combine them into a great solution.
- 7. Present your solution.
- 8. Launch, monitor, and maintain your system.