AWS Big Data

NOVEMBER 17, 2023

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. By using these statistics, CBO improves query run plans and boosts the performance of queries run in Athena.

Optimization 112

Optimization Statistics Metadata Data Lake 112

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve. What is machine learning?

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

The Unofficial Google Data Science Blog

JUNE 30, 2016

Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation. In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. we drop the $i$ index.

Statistics 44

Statistics Optimization Modeling Experimentation 44

O'Reilly on Data

MAY 27, 2020

Algorithms tell stories about who people are. The first story an algorithm told about me was that my life was in danger. It was 7:53 pm on a clear Monday evening in September of 1981, at the Columbia Hospital for Women in Washington DC. I was exactly one minute old. You get two points for waving your arms and legs, for instance.)

Risk 356

Risk Testing Measurement Reporting 356

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Paco Nathan: Thank you, Jon [Rooney]. I really appreciate it. I am honored to be able to present here and thrilled to have been involved in Rev.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? 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! This is not a new gig, by any stretch.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

The Unofficial Google Data Science Blog

AUGUST 27, 2019

But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem. As we note, uniform sampling is unlikely to get enough positive samples to draw inference about the proportion.

Metrics 98

Metrics Statistics Uncertainty Optimization 98