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About The Machine Learning Lifecycle in 2021
The document discusses the machine learning lifecycle and how it is not a straightforward process. It describes the typical machine learning lifecycle as involving iterative improvement of the data, model, and evaluation. Each phase of the lifecycle (data, model, evaluation) involves specific steps and there are many tools that can help speed up the process at each step. Completing an entire machine learning project from data collection to a deployed model requires cycling through improving the data, model, and evaluation in an ongoing process.
Detailed Information
Author: | ['Jean'] |
---|---|
Publication Year: | 2024 |
Pages: | 20 |
Language: | English |
Format: | |
Price: | FREE |
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