Domino Data Lab

JULY 22, 2019

I can point to the year 2001. It was also the year, 2001, when “ Agile Manifesto ” was published. Dave led his current crop of grad students to publish a follow-up study, 10 years in the day, afterword, and it’s called “ A Berkeley’s View on Serverless. All righty. Where did this happen?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 6, 2019

Recently the World Economic Forum published “ The Future of Jobs Report 2018.” In terms of teaching and learning data science, Project Jupyter is probably the biggest news over the past decade – even though Jupyter’s origins go back to 2001! Publishing and peer review. Publishing and peer review are vital to learning.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

O'Reilly on Data

MAY 27, 2020

In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm. This whole scoring system also changes the story about who librarians and teachers are.

Risk 354

Risk Testing Measurement Reporting 354

Occam's Razor

APRIL 25, 2011

Your website was created in 1996, updated slightly in 2001, and left to rot ever since. Inconsistent blog, Twitter, anything, publishing schedule. The WHY isn't to tell the decision maker if he or she was right or wrong, but to learn from the test and make better tests in the future." " 19. [via

Marketing 126

Marketing Measurement Metrics Testing 126

AWS Big Data

AUGUST 28, 2023

Amazon Security Lake publishes events from four different AWS sources: AWS CloudTrail with subsets for AWS Lambda and Amazon Simple Storage Service (Amazon S3), Amazon Virtual Private Cloud (Amazon VPC) Flow Logs, Amazon Route 53 , and AWS Security Hub. Navigate to dashboards and choose any one of the installed dashboards.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

OCTOBER 11, 2023

Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting. In this traditional architecture, a relational database is used to store data from streaming data sources.

Management 104

Management Metadata Analytics Dashboards 104

Domino Data Lab

MAY 20, 2021

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., Morgan Kaufmann Publishers Inc. References.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

IBM Big Data Hub

JUNE 28, 2023

We are at an inflection point, where we have witnessed 100,000-fold reduction in cost since the human genome was first sequenced in 2001. Today, the rate of data volume increase is similar to the rate of decrease in sequencing cost. gene expression; microbiome data) and any tabular data (e.g.,

Informatics 68

Informatics Consulting Cost-Benefit Data Architecture 68

Ontotext

JULY 29, 2021

The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. The first one is Schema.org: millions of web pages are tagged with semantic annotations to enable a much better web search experience.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

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? Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. Proposed sessions get stuck onto a wall within an hour or so.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 9, 2019

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” Audience development means when you’re an editor and you hit publish, your relationship with the story is not over because then there’s still an opportunity to make sure people get the story. Suddenly it’s like “Bam!

Data Science 112

Data Science Machine Learning Advertising Modeling 112