Jet Global

MAY 18, 2020

And that’s the last thing you want during in periods of uncertainty where things are changing on a daily basis. Furthermore, a 20 18 McKinsey survey said that the number of functions reporting to CFOs has risen from four to six since 2016.

Finance 64

Finance Reporting Uncertainty Testing 64

The Unofficial Google Data Science Blog

JULY 11, 2017

This model has stationary distribution $$mu_infty sim Nleft(0, frac{sigma^2_eta}{1 - rho^2}right),$$ which means that uncertainty grows to a finite asymptote, rather than infinity, in the distant future. Berge, Sinha, and Smolyansky (2016) also analyzed the data with the predictors at several lags.

Forecasting 66

Forecasting Statistics Modeling Software 66

Data Science and Beyond

JULY 28, 2017

As I haven’t heard anything from Automattic at that stage, it seemed unwise to reject a good offer, so I started working full-time with Car Next Door in January 2016. I finally heard back from Automattic in February 2016 (four months after my initial application and a month into my employment with Car Next Door).

Data Science 81

Data Science Testing Measurement Uncertainty 81

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. There is also uncertainty related to our modeling choices — did we select the correct polynomial embedding function $f(x)$, or is the true relationship better described by a different polynomial embedding?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

APRIL 11, 2023

Mistake 1: undisciplined growth Leaders are facing times of uncertainty, magnified recently with the collapse of Silicon Valley Bank and ongoing market turmoil. Chet successfully took Apigee public before the company was acquired by Google in 2016. Chet earned his B.S. in engineering from Arizona State University. IT Leadership

Uncertainty 52

Uncertainty Predictive Modeling Risk Technology 52

The Unofficial Google Data Science Blog

MARCH 13, 2017

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. CoRR, 2016. [3] CoRR, 2014. [2]

IT 70

IT Visualization Modeling Uncertainty 70

Jet Global

JUNE 22, 2022

Jenna Greenfield: During some time off, I realized I was very passionate about the cannabis industry and wanted to get involved once it was legalized in California in 2016. Analytics helps with that uncertainty because you really are paving the way. What’s next for you Jenna? JG: It’s time to get back to the grind.

Analytics 52

Analytics Dashboards Finance Uncertainty 52

IBM Big Data Hub

MARCH 8, 2024

a new living room couch—consumers can reduce uncertainty and the likelihood of returning a product by “trying it out” in their living room. Just six years after it emerged in 2016, the industry was projected to bring in USD 647 billion in the country. Trend: Live commerce Live commerce originated in China.

Consulting 79

Consulting Marketing Sales Data Processing 79

The Unofficial Google Data Science Blog

MARCH 31, 2016

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. arXiv preprint arXiv:1602.00047, (2016). [8] These predictive posterior distributions have many uses such as in multi-armed bandit problems. bandit problems).

Modeling 40

Modeling Statistics Advertising Testing 40

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016. What’s going on?

IoT 23

IoT Big Data Data Warehouse Uncertainty 23

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions.

Statistics 30

Statistics Uncertainty Risk Marketing 30

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. You can see a graph that shows the UK National debt from 1995 to 2016. The image below is a great example of this misleading practice. Source : www.economicshelp.org.

Statistics 363

Statistics Advertising Visualization Data mining 363

O'Reilly on Data

JUNE 16, 2020

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. This essay is about how to take a more principled approach to making decisions under uncertainty and aims to provide certain conceptual and cognitive tools for how to do so, not what decisions to make.

Uncertainty 350

Uncertainty Testing Risk Reporting 350