Data Glossary Lab

CLIP is the "connective tissue" of modern multimodal AI, a model developed by OpenAI that bridges the gap between vision and language.

A chatbot is a conversational AI interface, not just an automated answering machine. While traditional web forms and FAQs require users to manually hunt for information, a chatbot allows them to simply ask for it.

Cross-Validation is a resampling method used to evaluate the performance of a machine learning model by ensuring it can generalize to new, unseen data.

Computer Science (CS) is a multifaceted field of study focused on the theoretical and practical aspects of processing information in digital computers, the design of computer hardware and software, and the diverse applications of computing technology.

A Continuous Variable is a type of quantitative variable that can take on an infinite set of numerical values within a specific range.

Computer vision is an area of computer science concerned with enabling computers to achieve high-level understanding from digital images or videos.

Cost function is a machine learning function used to measure the average of the differences between the predicted and actual values over the training set, and supposed to be minimized.

A confusion matrix is a table illustrating the predictive performance of a classification model, showing true positives, true negatives, false positives, and false negatives.

A categorical variable is a variable that can have one of a limited number of possible values (categories) without any intrinsic ordering involved.