— In the News —
Does your data have a purpose? If not, you’re spinning your wheels. Here’s how to discover purpose for your data and then translate it into action.
Here's how startups make unfortunate decisions about their database architectures and what to do instead. And if you're already down some path, there are ideas here for course-correcting midstream.
Artificial intelligence is everywhere. But before scientists trust it, they first need to understand how machines learn.
— Sponsored Link —
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— Tools and Techniques —
Nice collection of tips and tricks for working with Jupyter.
A complete daily plan for studying to become a machine learning engineer.
janitor has simple functions for examining and cleaning dirty data. It was built with beginning and intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster.
And they want your help! In the current challenge, use deep learning to predict steering angles.
— Data Viz —
t-SNE plots can be extremely useful for visualizing high-dimensional data but they can also be misleading. This is a fantastic, interactive article that explores a series of simple examples that show how to use t-SNE more effectively.
Andy Kirk's latest roundup of interesting data viz projects and tutorials from around the web. Always worthwhile.