ML methodology
ML methodology is a recourse of documentation, tools and analytics prepared by WorkFusion experts to describe best practices in Use Case management.
Analytics includes the following Use Case parts:
- Requirements gathering
- Estimations
- Delivery
The target audience for these articles is people who are in position to plan and estimate a Use Case, to work directly with customers, to provide education on WorkFusion's technology and guidance on adopting Automation within the organization.
Using these articles, you will be able to:
Estimate ML work load for a new Use Case using ML Use Case prerequisites and ML project questionnaire template.
Release BP and model template ML Model and BP release notes template.
Gather prerequisites using the Machine Learning requisites gathering guide.
Get acknowledged with Use Case lifecycle.
Estimate DA and MLE efforts during the Use Case with calculation.
View typical fields to extraction by ML.
Identify dataset and field complexity.