O'Reilly on Data

MAY 21, 2019

Modernize existing applications such as recommenders, search ranking, time series forecasting, etc. Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. There are real, not just theoretical, risks and considerations.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

The Unofficial Google Data Science Blog

APRIL 17, 2017

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

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

DECEMBER 7, 2023

A nation known for innovative efficiency was a failure in one key area It goes without saying that the faster and more effectively disasters can be forecasted, detected, and responded to, the better the chance of minimizing damage and saving lives. And the key to success is having data that can be analyzed for actionable insights.

Internet of Things 108

Internet of Things IoT Forecasting Digital Transformation 108

bridgei2i

MAY 27, 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.

Statistics 98

Statistics Digital Transformation Data Processing Forecasting 98

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

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