AWS Big Data

JULY 27, 2023

AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. Create a DataBrew recipe Start by registering the data store for the claims file.

Visualization 89

Visualization Cost-Benefit Data Quality Publishing 89

The Unofficial Google Data Science Blog

JULY 18, 2023

But humans often disagree, and groups of humans may disagree with each other systematically (say, experts versus laypeople). E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. How do we think about the quality of human ratings, and how do we quantify our understanding is the subject of this post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. Introduction. Welcome back to our monthly burst of themes and conferences. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

AUGUST 8, 2019

Rather than publish an agenda as most technology conferences do, why not let people mingle, discuss, and propose topics and possible sessions? 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. Introduction. Sci Foo 2019.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

APRIL 9, 2021

In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. Multiplatform. A recent Harvard Business Review study confirmed that data is increasingly being spread across data centres, private clouds and public clouds. Efficiency. Flexibility.

Data Warehouse 60

Data Warehouse Cost-Benefit Statistics Data-driven 60

O'Reilly on Data

OCTOBER 18, 2022

For example, we may audit anything from an organization’s adherence to the nascent New York City employment law, to obligations under Equal Employment Opportunity Commission regulations, to MRM guidelines, to fair lending regulations, or to NIST’s draft AI risk management framework (AI RMF). And for good reason. For our audits, BNH.AI

Risk Management 300

Risk Management Risk Testing Measurement 300

Occam's Razor

FEBRUARY 22, 2010

Not all sources of CI data are created equal. For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site. In May 2010 (!). 39%, good god!

Metrics 124

Metrics Advertising Reporting Software 124

datapine

SEPTEMBER 4, 2023

Moreover, 90% of the information transferred to the brain is visual. Marrying digestible text with striking visuals provides the greatest results regarding the effective presentation of data, making it easy for audiences to understand and retain data. This very notion is the core of visualization.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. 1]" Statistics, as a discipline, was largely developed in a small data world. We must correct for multiple hypothesis tests. This post describes the analytical issues which arise in such a setting, and what the data scientist can do about them.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Andrew White

JANUARY 11, 2021

Gartner also published the same piece of research for other roles, such as Application and Software Engineering. This was in fact an overview of a piece of research we update every year. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52