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Quality Control

ByDavis

Definition of Quality Control Quality Control: In the context of data science, quality control is the process of ensuring that data is accurate and reliable. This can be done through a variety of techniques, such as checking for inconsistencies, verifying the source of the data, and performing statistical tests. By making sure that data is…

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Jordan Canonical Form

ByDavis

Definition of Jordan Canonical Form Jordan Canonical Form: A Jordan Canonical Form is a matrix representation of a square matrix that has the property that all of the eigenvalues are real and distinct. Jordan Canonical Form is a mathematical process used to find a rational solution to a polynomial equation. A Brief Overview of Jordan…

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Data Science

ByDavis

Definition of Data Science Data Science: Data science is the study of data and the application of statistical analysis, machine learning, and other computational techniques to extract knowledge from data. What is Data Science used for? Data Science is a field that combines science, mathematics, and technology to analyze data and make predictions. It is…

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Unsupervised Learning

ByDavis

Definition of Unsupervised Learning Unsupervised Learning: Unsupervised learning is a type of machine learning algorithm that does not rely on feedback from humans to learn how to identify patterns in data. These algorithms are typically used to identify patterns in data that have not been labeled or categorized by humans.

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NoSQL

ByDavis

Definition of NoSQL NoSQL is a type of database that does not conform to the traditional model of a relational database. It is schema-less, which means that you don’t have to predefine the fields and structure of your data when you add it to the database. This makes it easy to change and adapt as…

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