Remove 2001 Remove Data-driven Remove Measurement
article thumbnail

3 ways to advance sustainability in high performance computing

CIO Business Intelligence

That means we must collectively and continuously work to manage HPC’s power requirements in areas where we can have a measurable impact. The result s include 18X faster data backups, 72% less power, and a reduction of 60 tons of CO 2 per year. We applaud and support the efforts of HPC operators to improve sustainability.

article thumbnail

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. This renders measures like classification accuracy meaningless. 1988), E-state data (Hall et al., Their tests are performed using C4.5-generated Pima Indian Diabetes (Smith et al., 1998) and others).

article thumbnail

To Balance or Not to Balance?

The Unofficial Google Data Science Blog

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.

article thumbnail

Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

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?

article thumbnail

Reclaiming the stories that algorithms tell

O'Reilly on Data

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 361