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CH 2: Automated ML (ML lifecycle (def proj objectives, explore data, model…
CH 2: Automated ML
ML lifecycle
def proj objectives
explore data
model data
interpret & Comm
Implement, document, & maintain
Auto ML
any ML system tht automates the repetitive tasks req for an effective ML
time & knowledge intensive process
saves time
increases efficiency
8 criteria:
accuracy
productivity
process transparency
easy of use
generalization
understanding
recommend actions
resource accuracy
Auto ML types (2)
context specific tools
general platforms
commercial
open source
Auto ML is NOT automated
needs decisions made by analysts