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 115

Optimization Statistics Metadata Data Lake 115

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.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

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. This is often referred to as the positivity assumption. The field of statistical machine learning provides a solution to this problem, allowing exploration of larger spaces.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

JANUARY 6, 2019

Provide references. 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! Find people who are different than you, who need and want helpful mentoring in data science. Put in the time. Make a difference. Help make connections.

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. References [1] Art Owen. 2] Lawrence Brown, Tony Cai, Anirban DasGupta (2001). Statistical Science. 16 (2): 101–133. [3]

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Domino Data Lab

JULY 9, 2019

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” All of us get really excited about various ‘things’ I put this in before Pete’s talk this afternoon, but Pete made reference to Monica Rogati’s hierarchy of needs.

Data Science 112

Data Science Machine Learning Advertising Modeling 112