Data Science and Beyond

OCTOBER 15, 2017

Aspiring data scientists and other visitors to this site often repeat the same questions. How do I become a data scientist? Before we get into it, have you thought about why you want to become a data scientist? Why should I become a data scientist? Do you know what data science is? It depends on your situation.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

Howard Dresner

NOVEMBER 6, 2014

November 2, 2014 It happened so fast …. Similarly, it’s becoming a powerful way to distribute data and information in business intelligence initiatives. Similarly, it’s becoming a powerful way to distribute data and information in business intelligence initiatives. It all started nineteen years earlier when …. What do you think?

Business Intelligence 45

Business Intelligence ROI Interactive Statistics 45

The Unofficial Google Data Science Blog

JUNE 30, 2016

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. To do this, you have a data set at the person level containing, among other variables, an indicator of ad exposure, and whether the person bought the truck.

Statistics 45

Statistics Optimization Modeling Experimentation 45

IBM Big Data Hub

AUGUST 7, 2023

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 55

Optimization Forecasting Data-driven Statistics 55

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. What exactly is DataOps ?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Juice Analytics

MARCH 4, 2022

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Nightingale was known for her love of statistics.

Visualization 110

Visualization Statistics Data-driven Interactive 110

Jen Stirrup

JUNE 20, 2020

In this post, I want to analyse the current PASS situation, explain some broader context, and give people a more data-driven view. I hope that this leads to a calmer discussion by providing additional information and data. I want to help by providing data and insights on the recent PASS row online.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104