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The curse of Dimensionality

Domino Data Lab

Statistics developed in the last century are based on probability models (distributions). This model for data analytics has proven highly successful in basic biomedical research and clinical trials. The accuracy of any predictive model approaches 100%. Property 4: The accuracy of any predictive model approaches 100%.

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Structural Evolutions in Data

O'Reilly on Data

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” 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. As I was wrapping up my PhD in 2012, I started thinking about my next steps. Things have changed considerably since 2012. What do I actually do here?

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

Domino Data Lab

We’ll use a gradient boosting technique via XGBoost to create a model and I’ll walk you through steps you can take to avoid overfitting and build a model that is fit for purpose and ready for production. This is generally problematic, as the model trained on such data will have difficulties recognising the minority class.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

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Simplify external object access in Amazon Redshift using automatic mounting of the AWS Glue Data Catalog

AWS Big Data

For instructions, see Change the default permission model. For instructions, see Upgrading AWS Glue data permissions to the AWS Lake Formation model. The security setup (setting up the permissions model or data governance) is owned by account and database administrators. Change the settings for existing Data Catalog resources.