Getting better at predicting organised conflict by Tate Ryan-Mosley via @techreview

New techniques, machine learning, and better data gathering have made predictions both more useful and more granular. In this MIT Technology Review article, one predictive model is applied to look at violence in Ethiopia since the election of Abiy Ahmed, the new Nobel Peace Prize winner.

I loved this really insightful article which has some great diagrams that help with understanding.

WEBINAR: Predictive Forecasting with Time Series Analysis - 7 November 2017

Overview

Title: Predictive Forecasting with Time Series Analysis

Date: Tuesday, November 07, 2017

Time: 09:00 AM Pacific Standard Time

Duration: 1 hour

Summary

Predictive Forecasting with Time Series Analysis

The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organization’s success. But what happens when a forecast is inaccurate? What is the impact on a business, its customers or its partners? For businesses, the ability to catch even a tiny glimpse of what the future may hold can lead to happy customers, improved efficiency and productivity, and highly successful business decisions.

In this Data Science Central webinar learn how time series analysis better enables departments across your organization with actionable, more accurate insights related to the timing of equipment failure, customer offers, and the impact of effects like seasonality.

Speakers:

Murali Prakash,  IBM Product Manager  -- IBM SPSS
Mikhail Lakirovich, IBM Offering Manager  -- IBM SPSS
Douglas Stauber, IBM Offering Manager -- IBM SPSS

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

 

Register here