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

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

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

Learning
from data
in A.I.M.

Data-driven (automated)
decisions

Machine Learning
vs.
Learning algo