Posts

Box plots, when used correctly, can be a very fun way to visualize big data.

Can the CTRL model create the “fake news” OpenAI was concerned about? Let’s put it to the test.

Thanks to gpt-2-simple and this Colaboratory Notebook, you can easily finetune GPT-2 on your own dataset!

Thanks to a few new synergies within GCP products, it’s possible to get the cost of running a scheduled task down to less than a dollar a month.

MOOCs and thought pieces overfit to a certain style of data science that is not robust to the vast uncertainties of the real world.

The nature of algorithmic feeds like Reddit inherently leads to a survivorship bias: although users may recognize certain types of posts that appear on the front page, there are many more which follow the same patterns but fail.

For IMDb’s big-but-not-big data, you have to play with the data smartly, and both R and ggplot2 have neat tricks to do just that.

Train your own text-generating neural network and generate text whenever you want with just a few clicks!

Although visualizing basketball shots has been done before, this time we have access to an order of magnitude more public data to do some really cool stuff.

I was surprised to see that all types of programming languages have quick answer times and a high probability of receiving an acceptable answer!