index

SYMBOLS

,

A

,

API design

A/B testing

, ,

B

bus factor

, , , , ,

,

,

,

C

,

,

,

,

,

, ,

,

D

,

datasets

,

,

deep learning

,

,

,

,

,

,

,

,

,

data quality and integrity

,

E

,

,

F

,

,

fixed

,

,

,

, ,

,

feature baselines

,

,

G

gathering datasets

,

,

H

hierarchy

I

inference optimization

,

,

K

, ,

L

loss functions

,

,

,

,

M

,

,

,

,

,

machine learning (ML) system design

,

,

,

,

model quality and relevance

,

machine learning (ML) systems

,

N

O

,

,

,

P

,

,

,

,

pipelines

,

,

problem definition

,

, , ,

preliminary research

,

,

,

,

prediction

,

,

,

,

,

Q

R

,

residuals, commonalities in

,

,

,

,

S

,

, , , , ,

, , ,

, , ,

,

,

,

,

simulated

,

Supermegaretail

, , , ,

,

,

,

,

T

,

, ,

,

,

,

,

U

V

,

,

,

,

W

Y