Feb Flashcards
Machine learning uses x to y
Data
Predict
Machine learning aka
Predictive
Analytics
Example of machine learning in operation
UPS - predict where parcels will be needed tomorrow
Example - predict which customers c, company can provide those customers i to stick around
Cancelled
Incentives
AI - problem with ‘intelligence’ - if it’s possible, it’s
Not intelligent
Might as well define AI as - whatever
Machines haven’t done yet
BDDs contain (2)
Requirements
Steps to check those requirements
NFR
What a the s must have to meet the b g
what attributes the system should provide in order to meet their business goals.
BDDs based on the
3 amigos approach
3 amigos
Product owner
Developer
Tester
2 parts of User Story
Narrative
Acceptance criteria
The acceptance criteria capture
All scenarios
Represent NFR as user story example
As a user
I want the site to be available 99.9%
So that I can buy products any time
NFR areas
Performance
Availability
Security
Data integrity
Usability
Stability
Compliance
Reliability
Recoverability
Efficiency
Confidentiality
Goal of BDD testing is increase c between t an b side
Collaboration
Technical
Business