O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. We saw this after the 2016 U.S. To do so, let’s stick with the example of the 2016 U.S. Forecasters and pollsters are aware of this deep challenge. Mike: But I lost! How can you say always ?!?

Uncertainty 273

Uncertainty Testing Risk Reporting 273

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

bridgei2i

MAY 26, 2020

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

CIO Business Intelligence

APRIL 24, 2023

Gartner expects demand for tech talent to continue to outstrip supply through 2026 based on its IT spending forecasts. The frenetic pace of technology change, coupled with an ongoing shortage of STEM graduates, means there is a persistent dearth of qualified and skilled candidates to fill available jobs.

IT 109

IT Strategy Software Insurance 109

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. 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

Smarten

SEPTEMBER 6, 2019

Self-serve tools allow users to leverage knowledge and skill and better perform against forecasts and plans. ’ 2017 has certainly proven this to be true, as businesses embrace the value of self-serve data preparation and analytics tools. Original Post: What is SSDP and Can it Truly Make Analytics Self-Serve?

Analytics 51

Analytics IT Business Intelligence Testing 51

datapine

AUGUST 29, 2022

It was lately revised and updated in January 2016. With a very strong practical focus “Analytics in a Big Data World” starts by providing the readers with the basic nomenclature, the analytics process model, and its relation to other relevant disciplines, such as statistics, machine learning, and artificial intelligence.

Big Data 263

Big Data Data Analytics Analytics Data mining 263