CIO Business Intelligence

JUNE 22, 2022

Huawei’s foray into the country began in 2001. Huawei is both pleased and honoured to have had opportunities to work with some of the leading telecommunications companies in Malaysia over the past two decades, particularly on connectivity-driven initiatives in recent years. Cloud Computing: TM ONE Alpha Edge.

Digital Transformation 111

Digital Transformation Manufacturing Testing Technology 111

The Unofficial Google Data Science Blog

JUNE 30, 2016

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. To do this, you have a data set at the person level containing, among other variables, an indicator of ad exposure, and whether the person bought the truck.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

MAY 27, 2020

Whether driven by my score, or by their own firsthand experience, the doctors sent me straight to the neonatal intensive care ward, where I spent my first few days. And yet a number or category label that describes a human life is not only machine-readable data. Numbers like that typically mean a baby needs help.

Risk 355

Risk Testing Measurement Reporting 355

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 101

Management Metadata Analytics Dashboards 101

Domino Data Lab

MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. 1998) and others).

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Jet Global

APRIL 13, 2020

In 2001, a group of software developers got together at a ski resort in the Wasatch mountains of Utah and drew up a document they called the “Agile Manifesto.” In the digital age, the amount of information driving demand forecasts has increased, and demand data has flowed faster and more efficiently than ever before. What Is Agile?

Manufacturing 98

Manufacturing Reporting Finance Forecasting 98

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? Source: tag.ontotext.com.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71