Domino Data Lab

SEPTEMBER 25, 2019

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. Fortunately, the forecast package has a number of functions to make working with time series data easier, including determining the optimal number of diffs. > library(forecast).

Forecasting 87

Forecasting Modeling Statistics Optimization 87

bridgei2i

JUNE 23, 2021

A Masters in Quantitative Economics from the Indian Statistical Institute (ISI), Calcutta, Prithvijit founded BRIDGEi2i in May 2011. He has over 17 years of analytics consulting experience in target marketing, pricing, credit risk, audit analytics, fraud detection, forecasting, spend analytics and market research.

Strategy 52

Strategy Enterprise Statistics Digital Transformation 52

The Unofficial Google Data Science Blog

JULY 11, 2017

Forecasting (e.g. Time series data are having something of a moment in the tech blogs right now, with Facebook announcing their "Prophet" system for time series forecasting (Taylor and Letham 2017), and Google posting about its forecasting system in this blog (Tassone and Rohani 2017).

Forecasting 66

Forecasting Statistics Modeling Software 66

AWS Big Data

JULY 16, 2024

The new approach would need to offer the flexibility to integrate new technologies such as machine learning (ML), scalability to handle long-term retention at forecasted growth levels, and provide options for cost optimization. Zurich wanted to identify a log management solution to work in conjunction with their existing SIEM solution.

Insurance 123

Insurance Management Cost-Benefit Optimization 123

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? Similar tools are available from Microsoft: Entity Association, Keyword Group Detection, Keyword Forecast, and Search Funnels (all at Microsoft adCenter Labs ). In May 2010 (!). 9 points higher, now you deserve a bonus!

Metrics 124

Metrics Advertising Reporting Data Collection 124

AWS Big Data

MAY 4, 2023

Dataset Variables Disk Size Xarray Dataset Size Region ERA5 2011–2020 (120 netcdf files) 53.5GB 364.1 His ML specialization includes computer vision, natural language processing, time series forecasting, and personalization. In theory, as the solution scales, there should be a productive material difference in reducing overall time.

Data Processing 108

Data Processing Metadata Informatics Interactive 108

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. While SR 11-7 is prescriptive in its guidance, one challenge that validators face today is adapting the guidelines to modern ML methods that have proliferated in the past few years.

Risk 52

Risk Modeling Metrics Business Objectives 52

Domino Data Lab

AUGUST 22, 2019

2011) earlier in this chapter. 2011) is made up of the natural language of reviews from the publicly available Internet Movie Database (IMDb; imdb.com ). This might be the case with some time series forecasting models or if you only had very short strings of natural language in your dataset.]. Note: Maas, A., Example 11.14

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

CIO Business Intelligence

APRIL 9, 2025

2011 Turing Award winner Judea Pearls landmark work The Book of Why (2020) explains it well when he states that correlation is not causation and you are smarter than your data. For example, an analytics dashboard that correlates shipping data gaps in a logistics view could be correlated to quantities released for distribution in a warehouse.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Selection bias played a notable role in the discussion of the avian influenza outbreak of 2011 during which the reported case fatality rate was as high as 80% [2]. But this test is subject to "selection bias", which occurs when we analyze a group that was not randomly selected.

Experimentation 62

Experimentation Testing Statistics Metrics 62

Juice Analytics

MARCH 22, 2021

This work from 2011 was ahead of it’s time — as is most of Victor’s imaginative, inspirational work. How to Forecast an American’s Vote by The Economist “We have built a statistical model to estimate the odds of how each respondent will vote in next week’s mid-term elections.”

Visualization 140

Visualization Interactive Statistics Forecasting 140

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!, Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself.

Big Data 263

Big Data Data Analytics Analytics Data mining 263