Data mining isn’t just techno-speak for messing around with a lot of data. Data mining doesn’t give you supernatural powers, either.

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

AI Terminologies 101: Understanding Data Mining and Its Applications Learn about the key tasks involved in Data Mining and how they're used in practical applications.

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.

Prior knowledge needed: Concepts of probability, basic algorithms and data structures, and implementation of algorithms in Python View on Coursera Learning Outcomes Identify the key components of and ...

With the book, readers learn how to implement a variety of popular data-mining algorithms in R to tackle business problems and opportunities. Material covered in-depth includes both statistical and ...

Data storytelling is a structured approach for communicating data insights, and it involves a combination of three key elements: data, visuals, and narrative.