Learning
from data
in A.I.M.
Learning is the act of acquiring new, or modifying and reinforcing existing, knowledge, behaviors, skills, values, or preferences which may lead to a potential change in synthesizing information, depth of the knowledge, attitude or behavior relative to the type and range of experience.
Data-driven (automated)
decisions
DATA
NEW DATA
features, summaries
features, summaries
DATA
ACTIONABLE INSIGHT
insight
-
optimal send time for Bob
-
Claire's buying probability
-
domain alerting
-
who to re-engage
Observe
Experiment
-
select relevant input data
-
train + test model on past data
-
use model on existing and new contacts
-
...
-
(re-train model)
-
(deploy new model)
Buying prob.
Send Time Opt.
-
any sense?
-
best guess
-
explore & exploit
STO w/o experiment?
train once vs cont. learning
-
best guess
-
explore & exploit
Incentive Reco.
Machine Learning
vs.
Learning algo
the concept of learning in data science
By Czeller Ildi
the concept of learning in data science
Slides for Emarsys AIM clan knowledge sharing talk about the concept of learning in Data Science.
