Lambda functions are an extremely common form of code organization, simplification and clarification in Python. Here’s how to write them — fast.
Bias and variance are key concepts in data science and model development. Here’s what they mean and some tips on how to improve your model.
When we’re working with large amounts of data, errors are inevitable. Here’s how to check your data for errors manually using Python.
Here’s how to write Python scripts to check your data for errors (minus the tedium of doing it yourself).
Use this step-by-step guide to start creating subplots in Matplotlib.
To all the young programmers worrying about the uncertain job market, I promise things will get better.
Games and gaming offer a useful analogy for real life. By closely examining the way AI plays games, we can learn some valuable lessons.
Data often reflects the biases that pervade the larger world. To make machine learning processes more equitable, we need to employ a variety of methods to eliminate bias.
Code review is important, but it can be time- and labor-intensive. Fortunately, a few simple steps can streamline the process nicely.
