The purpose of this article is to summarize the predictive modeling process, from exploring the data to deploying the prediction. This includes the thought process behind various decisions during the process, be it selecting the features that could help with better pred
Read MoreTags: Data Analysis, Data Engineering, Data Visualization, Machine Learning
As a part of Omdena’s project with iRap, a vital step was to undertake a feature analysis to determine which of iRap´s 66 road features have the most impact on road safety. Team team used various statistical methods and regression models to determine feature impo
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Omdena successfully combines AI and ML methodologies with open source, low resolution satellite imagery to create actionable solutions for powerful insights. Introduction Every day, millions of images are captured from space by an ever-growing number of satellite
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Applying Machine Learning to dynamically assess vegetation health changes before and after desert locust attacks. By Rasha Salim, Debaleena Misra, Kanmani Subramanian, Joshua Sant’Anna In 2020, as desert locust outbreaks were raging throughout the Horn of Afri
Read MoreTags: Damage Assessment, Desert Locust, Machine Learning, Vegetation Health
Applying AI to identify causal factors of the digital divide and their impact on human development. By Salil Kumar and Harshita Chopra “Technology is changing the world” is something we read and experience every day. The Internet of Things (IoT), cloud storag
Read MoreTags: Digital Divide, Economic Development, Machine Learning