Smart Data Collective

MARCH 13, 2020

The better strategy is to demarcate each data science project into four distinct phases : Phase 1: Preliminary Analysis. Phase 4: Knowledge Discovery. Algorithms can also be tested to come up with ideal outcomes and possibilities. It’s overwhelming to look at a data science project from the top down.

Data Science 100

Data Science Key Performance Indicator Knowledge Discovery Visualization 100

Ontotext

SEPTEMBER 15, 2020

However, Data Fabric is not an application or software package but a set of design principles and strategies to deal with the very real and concrete truth that centralized data storage and control is gone. If needed, Ontotext’s consultants and partners can advise you on your data management strategy and plans.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

Domino Data Lab

MAY 20, 2021

propose a different strategy where the minority class is over-sampled by generating synthetic examples. Their tests are performed using C4.5-generated note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). In their 2002 paper Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136