DataRobot

MARCH 29, 2021

Despite the uncertainty and challenges of the past year, DataRobot is seeing the positive impact that AI and machine learning are having on our world as enterprises accelerate their AI adoption. Alexis co-founded Reddit out of college, which was funded by Y Combinator in 2005 and sold to Conde Nast in 2006.

Uncertainty 52

Uncertainty Data Processing Forecasting Machine Learning 52

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. We forecast this time series from the middle of 2006 through the end of the data, for a 30-month forecast horizon.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

CIO Business Intelligence

OCTOBER 31, 2022

While the list of factors presented here is, and the list of factors presented in the registration statement on Form S-4 are, considered representative, no such list should be considered to be a complete statement of all potential risks and uncertainties. He has held this position since March 2006.

Uncertainty 97

Uncertainty Risk Reporting Marketing 97

CIO Business Intelligence

MARCH 7, 2023

While the list of factors presented here is, and the list of factors presented in the registration statement on Form S-4 are, considered representative, no such list should be considered to be a complete statement of all potential risks and uncertainties. He has held this position since March 2006.

Uncertainty 59

Uncertainty Risk Sales Marketing 59

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

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. For example $$ mu_{t+1} = rho mu_{t} + eta_t,$$ with $eta_t sim N(0, sigma^2_eta)$ and $|rho| < 1$. Chapman & Hall, 3rd edn.

Forecasting 66

Forecasting Statistics Modeling Software 66

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. Cambridge University Press, (2006). [2] These predictive posterior distributions have many uses such as in multi-armed bandit problems. bandit problems).

Modeling 40

Modeling Statistics Advertising Testing 40

Jet Global

NOVEMBER 14, 2022

The transfer involves the value of intangible assets between Medtronic and its Puerto Rican affiliate for the tax years 2005 and 2006. Besides the transition to software, we’re also seeing greater volatility in global events, uncertainty in global trade policies, and corporate challenges.

Cost-Benefit 52

Cost-Benefit Sales Marketing Risk 52

Domino Data Lab

JULY 22, 2019

They learned about a lot of process that requires that you get rid of uncertainty. They’re being told they have to embrace uncertainty. Then in 2006, they told me to go look at a website and sign up for a thing. The end of 2006, we were having trouble managing some of our NLP workflows that we were doing.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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. Statistical analyses have historically been a stalwart of the high-tech and advanced business industries, and today they are more important than ever.

Statistics 363

Statistics Advertising Visualization Data mining 363

The Unofficial Google Data Science Blog

MARCH 24, 2025

As past posts on this blog have discussed, there are statistical as well as semantic aspects to uncertainty [refs]. This problem of characterizing and quantifying uncertainty takes on a particular form when the data is that of human judgments (see [ref]). Of course, addressing ambiguity is a key aspect of data science.

Statistics 58

Statistics Testing Interactive Sales 58