DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. In addition to the model metrics discussed above for classification, DataRobot similarly provides fit metrics for regression models, and helps the modeler visualize the spread of model errors.

Risk 52

Risk Modeling Metrics Business Objectives 52

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. Forecasting (e.g. The other systems were written to do "forecasting at scale," a phrase that means something different in time series problems than in other corners of data science. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, To start a more in-depth grasp of your own data sets, you can try our online data visualization tool for free with a 14-day trial !

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Juice Analytics

MARCH 22, 2021

This collection of world-class data stories demonstrates how to combined data visualization, interactivity, and classic storytelling. An extraordinary early data story (it runs in Java) that inspired a generation of data visualization professionals. US Gun Deaths by Periscopic This visualization shows “stolen years” due to gun deaths.

Visualization 135

Visualization Interactive Statistics Forecasting 135

Domino Data Lab

SEPTEMBER 25, 2019

A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. For an illustration, we will make use of the World Bank API to download gross domestic product (GDP) for a number of countries from 1960 through 2011. > library(forecast). AICc=776.99

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. 2011) earlier in this chapter. Note: Maas, A., Learning word vectors for sentiment analysis. Example 11.6 Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111