So if race is disproportionately (but not explicitly) represented in the data fed to a data-mining algorithm, the algorithm can infer race and use race indirectly to make an ultimate decision.

The novice can be doing simple data analyses with these tools within minutes. Generally an R data science function will be richer in coverage than its Python counterpart. For instance, R's histogram ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

What is this book about? Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data ...

Streamlit lets you write web-based Python data applications without HTML, CSS, or JavaScript. Here's a first look at Streamlit.

Facebook Algorithms and Personal Data About half of Facebook users say they are not comfortable when they see how the platform categorizes them, and 27% maintain the site’s classifications do not ...

AI is thought to be only data-driven these days. Let's take a balanced look at AI over time and consider algorithms and process.

This online data science specialization will teach you the fundamentals of data structures and algorithms with a focus on data science applications. This specialization is ideal for learners ...