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Structural Evolutions in Data

O'Reilly on Data

They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. It felt like, almost overnight, all of machine learning took on some kind of neural backend. And it was good.

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Defining data science in 2018

Data Science and Beyond

I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. It’s not all about machine learning. As I was wrapping up my PhD in 2012, I started thinking about my next steps. Things have changed considerably since 2012.

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Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving

Domino Data Lab

In this article, we’ll discuss the challenge organizations face around fraud detection, how machine learning can be used to identify and spot anomalies that the human eye might not catch. Now that we are satisfied with how the model performs, we can persist it and use it from other notebooks / scoring scripts. 2] Nitesh V.