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Stanford University vía Coursera
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Structuring Machine Learning Projects

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  • ML Strategy
    • Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities.
  • ML Strategy
    • Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning.