Definition of Ensemble Learning Ensemble Learning: Ensemble Learning is a technique that combines the predictions or classifications of multiple machine learning models in order to improve the accuracy of the predictions. What is Ensemble Learning used for? Ensemble Learning is a machine learning technique used to combine multiple models or algorithms together to produce better…
Definition of Enrichment Enrichment: In data science, enrichment is the process of expanding or enhancing a dataset with additional information. This can be done in order to improve the accuracy of predictions or to gain a deeper understanding of the data. Enrichment can be performed manually, by adding new data points to the dataset, or…
Definition of Endpoint Endpoint: Endpoint refers to the point of contact between two systems, or in the context of data science, the point where data is received and sent. In a pipeline, the endpoint is typically the last stage before the data is output. What needs to be considered when dealing with different Endpoints? When…
Definition of Embedding Embedding: Embedding is a technique used in machine learning for representing high-dimensional data in a low-dimensional space. It is used to improve the performance of algorithms by reducing the number of parameters that need to be estimated or optimized. This is often done in order to improve the efficiency of machine learning…
Definition of Eigenvector Eigenvector: An eigenvector is a particular type of vector that has a special property: it’s multiplied by a certain matrix (the “eigenvalue matrix”) in such a way that the result is always the same. What is an Eigenvector used for? An Eigenvector is a special type of vector used in linear algebra…
Definition of E-commerce E-commerce: E-commerce is a term for the buying and selling of goods and services over the internet. It usually refers to the sale of goods and services by businesses to consumers, but can also describe the purchase of goods and services by businesses from other businesses. What things should be considered when…
Definition of Decision Tree Decision Tree: A decision tree is a graphical representation of a decision process, used to help explain the logic of a decision. The tree has nodes, which represent choices, and branches, which represent the possible outcomes of each choice. The leaves of the tree represent the end results of the decision…
Definition of Decision Decision: A decision is a choice that is made between two or more possibilities. What are Decisions used for? Decisions are used to make choices or reach conclusions. They are a crucial part of the data science and machine learning process, since they allow us to make decisions based on information collected…
Definition of Database Management System Database Management System: A Database Management System (DBMS) is a software system that enables users to create and manage databases. A DBMS typically consists of a graphical user interface (GUI), a database engine, and a storage mechanism. The GUI allows users to create and modify database structures, enter and edit…
Definition of Database Design Database Design: Database design is the process of designing the structure of a database. This includes defining the tables, fields, and relationships between them. Why does Database Design matter? Database design is an important factor in any data science or machine learning environment. It lays the foundation for how data is…