Thomas Perneger points us to this amusing quiz on statistics terminology:

Why a data lake? Machine learning often requires an iterative process that can drain performance on a traditional warehouse. Data lakes are made for scale and experimentation. They also provide ample, diverse training data for the most comprehensive learning experience, which makes algorithmic assessments more accurate and successful when put into production.

Amazon SageMaker now supports AWS PrivateLink for notebook instances. In this post, I will show you how to set up AWS PrivateLink to secure your connection to Amazon SageMaker notebooks.

I put together a series of demos for a group of epidemiology students who are studying causal mediation analysis. Since mediation analysis is not always so clear or intuitive, I thought, of course, that going through some examples of simulating data for this process could clarify things a bit.

Can you trust the data you use on Kaggle? Is it licensed? Has it been updated recently?

By Insurance Nexus Sponsored Post.

Amazon SageMaker now allows you to customize the notebook storage volume when you need to store larger amounts of data.

I wrote a post about getting Magento 2 data to R using REST API last year. Now I provide more examples of use and a wrapper over API that you can re-use to get data from Magento 2 to R in a bit more convenient way.

ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing

Here’s a great opportunity for those interested in probabilistic programming and workflows for Bayesian data analysis: