IBM Big Data Hub

AUGUST 7, 2023

It offers enhanced capabilities to analyze complex and large volumes of comprehensive recruitment data to accurately forecast enrollment rates at study, indication, and country levels. 2014 Bentley C, Cressman S, van der Hoek K, Arts K, Dancey J, Peacock S. Department of Health and Human Services.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

The Unofficial Google Data Science Blog

APRIL 17, 2017

They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet. If unaccounted for, these data points can have an adverse impact on forecast accuracy by disrupting seasonality, holiday, or trend estimation. OTexts, 2014. Forecasting data and methods". [2]

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Insight

JANUARY 14, 2020

In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment. The VGG16 architecture was the runner-up in the ILSVRC-2014 challenge.

Metrics 58

Metrics Optimization Modeling Testing 58

Occam's Razor

SEPTEMBER 15, 2014

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Surely you are not surprised that digital finally beats TV.

Metrics 143

Metrics Reporting Analytics Marketing 143

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). In this article we’ll use Skater , a freely available framework for model interpretation, to illustrate some of the key concepts above.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

FEBRUARY 9, 2015

How is competitive intelligence data collected? Competitive intelligence data will never match your site's analytics tool. CI data collection. How does any tool have access to your website or mobile app data? But in the lovely environment of the web there are a number of ways to collect your data.

Metrics 156

Metrics Reporting IT Advertising 156

Occam's Razor

OCTOBER 14, 2014

Just skip the we can give you data and benchmarks on performance bits. If you do use them, please consider the data collection methodology. Competitor Data Benchmarks. CI vendors have lots of interesting ways in which they collect data. ( The Definitive Guide To (8) Competitive Intelligence Data Sources!

Key Performance Indicator 135

Key Performance Indicator Metrics Reporting Marketing 135

Cloudera

NOVEMBER 9, 2018

billion in 2014. These digital tools will allow them to: Effectively aggregate data from various systems and organizations to support multi-functional analytic applications. Cost-effectively ingest, store and utilize data from all IoT devices. Drive real-time processing and analytics to IoT data – both in motion and at rest.

IoT 57

IoT Machine Learning Internet of Things Data Collection 57

Domino Data Lab

FEBRUARY 4, 2019

These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

CIO Business Intelligence

MAY 17, 2022

This incident, which provides insight into what can go wrong for any enterprise that has deployed AI without adequate data governance , is just the latest in a series of high-profile companies that have seen their AI-related PR disasters all over the front pages. The hospital did this by investing more in data collection, Taglieti says.

Risk 145

Risk Data Science Machine Learning Consulting 145

CIO Business Intelligence

MARCH 4, 2025

China-linked actors also displayed a growing focus on cloud environments for data collection and an improved resilience to disruptive actions against their operations by researchers, law enforcement, and government agencies.

IoT 132

IoT Manufacturing Data Collection Reporting 132

CIO Business Intelligence

MARCH 4, 2025

China-linked actors also displayed a growing focus on cloud environments for data collection and an improved resilience to disruptive actions against their operations by researchers, law enforcement, and government agencies.

IoT 98

IoT Manufacturing Data Collection Reporting 98

CIO Business Intelligence

JANUARY 21, 2025

The USDS was created in August 2014 by President Barack Obama , with the mission to improve and simplify the digital experience that people have with their government. Its first administrator was Mikey Dickerson.

Software 111

Software Technology Data Collection Data Integration 111