Data Glossary Lab

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.

A Data Analyst analyzes data and reports insights from their analysis, often using a combination of coding and non-coding tools in order to support decision-making.

Data Analysis (DA) is the technical discipline focused on cleaning, transforming, visualizing, and exploring data to extract meaningful patterns and insights.

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.

Linear algebra is a branch of mathematics concerned with linear systems: lines, planes, vector spaces, matrices, and operations on them, such as addition or multiplication.