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 101

Data Science Key Performance Indicator Knowledge Discovery Visualization 101

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 This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. The class imbalance problem: Significance and strategies.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136