3 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Free guides on getting started with AI, prompting, choosing tools, and using AI at work. The collection explains practical AI topics in plain English.
Free PDF glossary from KDnuggets defining dozens of core AI concepts, from algorithms and training data to generative AI and large language models.
A 2022 student post on Cornell's Networks course blog explaining Bayes' theorem and how it is used to update probabilities in AI systems such as spam filters and classifiers. Written by a student, not course staff.
