IBM Big Data Hub

AUGUST 7, 2023

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. It explores the impact of different scenarios, evaluate trade-offs, and determine the optimal actions to be taken.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

Smart Data Collective

MAY 17, 2021

Hamburg data protection commissioner Johannes Caspar issued an emergency order prohibiting Facebook from processing this data for three months, citing a privacy policy update that violates European data protection laws. For instance, Facebook’s decision to buy WhatsApp in 2014 was based on data collected via the Onavo VPN.

Cost-Benefit 94

Cost-Benefit Advertising Data Collection Data-driven 94

Domino Data Lab

AUGUST 1, 2021

Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014). For this demo we’ll use the freely available Statlog (German Credit Data) Data Set, which can be downloaded from Kaggle.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

The Unofficial Google Data Science Blog

APRIL 17, 2017

Our team of data scientists and software engineers in Search Infrastructure was already engaged in a particular type of forecasting. They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66