Smart Data Collective

OCTOBER 17, 2022

Transactional data includes first and final purchases, products, number of purchases, date, statistics, typical order value, commodity purchase history, and total spending by a consumer. Since its inception in 2001, Mailchimp has had more than two decades of expertise in email marketing for millions of subscribers.

Marketing 120

Marketing Optimization Data Analytics Analytics 120

CIO Business Intelligence

MARCH 22, 2022

Here are 19 key organizations dedicated to uplifting women in tech, pushing inclusivity in the workplace and closing the diversity gap. 19 organizations for women in tech. Girl Develop It. Girl Develop It offers web and software development courses at affordable rates in a “judgement-free zone.” Girls in Tech. Girls Who Code. TechLadies.

Software 145

Software Technology Statistics IT 145

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

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

Domino Data Lab

AUGUST 8, 2019

Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. In any case, there’s a simpler way to look at these concerns, then rethink hiring and training priorities for data science teams. But first, let’s backup and discuss: what is this Foo thing anyway? What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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

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 355

Risk Testing Reporting Measurement 355

Domino Data Lab

JULY 9, 2019

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” Here is how we think about the mindset and the toolset of data science at The New York Times. Because I’m an academic I like to look at the original founding documents. Please help us make sense of it.” ” I really love this paragraph.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

JANUARY 6, 2019

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! Lately I’ve been developing curriculum for a client for their new “Intro to Data Science” sequence of courses. This is not a new gig, by any stretch. That’s no problem.

Data Science 56

Data Science Machine Learning Reporting Visualization 56