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The Goal As a data scientist you often find yourself creating a notebook documenting a new model or an update to an existing model. Recently in this particular situation I was analyzing how my model was performing within windows of time throughout the prediction window. I wanted a visualization...

data manupulation in R

by Lauren Green

This post is part 2 of a series on Data Manipulation in R. In part 1, my colleague showed the uses of the data.table package. In this part I will explore the dplyr package using the same examples used in part 1. What is dplyr? dplyr is a package...

data table

by Nate Latshaw

In the R programming language, data.table is both a package and an object within that package. The data.table package serves as a wrapper for the data.frame object in base R. A data.table object features many enhancements over a data.frame – to include increased speed and memory allocation efficiency. The...

The modern field of Artificial Intelligence (AI) is perhaps, not so modern but rather a journey over almost three centuries of improved workflows to create more efficient and responsive processes. AI in its current state is not a replacement for human intelligence and ingenuity but rather a support tool....

aviation

Tackling Aircraft Down-Time An aircraft’s job: to take off and land reliably, safely, and efficiently. As we look at today’s technologies and tomorrow’s advanced predictive tools, we believe that fleet health will increasingly be measured and analyzed in real-time, while fleet maintenance will be scheduled based on digitally predicted...

aviation post covid

Post-COVID Aviation Operating Landscape will be Catalyzed by Digital Transformation says ICAO Post COVID-19, aviation companies require more than existing infrastructure to adapt to new realities. Behind every flight is a carefully orchestrated tech ecosystem that forecasts based on a variety of macro and micro trends: consumer demand (business...

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