Definition of Input Input: Input refers to the data that is given to a machine learning algorithm in order to learn from it. The input can be in a number of formats, including text, images, and videos. What are the most common types of Input given to machine learning algorithms? The most common types of…
Definition of Inferential Statistics Inferential Statistics: Inferential statistics are a type of statistics that are used to make estimations about populations based on samples. This is done by using the data from the sample to calculate a statistic, which is then used to make an inference about the population. What are Inferential Statistics used for?…
Definition of Inference Inference: Inference is the process of using known information to draw conclusions about something that is unknown. In data science, inference is often used to draw conclusions from data that has been collected. This can be used to identify trends or patterns in data, or to make predictions about future events. What…
Definition of Inductive Reasoning Inductive Reasoning: Inductive reasoning is a type of inference that starts with specific observations and then draws general conclusions from them. What are some examples of when an Inductive Reasoning may be used? Inductive reasoning is an important tool used in data science and machine learning. It involves drawing conclusions from…
Definition of Hyperplane Hyperplane: A hyperplane is a mathematical concept used in linear algebra and machine learning. It is a subspace of a given vector space that is spanned by a set of vectors. In other words, it is a flat plane in a higher dimensional space. Hyperplanes can be used to separate different classes…
Definition of HSQLDB HSQLDB: HSQLDB, or HyperSQL Database, is a Java relational database management system (RDBMS). It is written in Java and implements the Java Database Connectivity (JDBC) API. It can be used to create and populate tables, to query data, and to update data. What is HSQLDB used for? HSQLDB, or HyperSQL Database, is…
Definition of HDFS HDFS: HDFS (Hadoop Distributed File System) is a distributed file system that enables high throughput access to data across large clusters of commodity servers. HDFS is designed to scale to support very large data sets up to petabytes in size. What is a HDFS used for? HDFS, or Hadoop Distributed File System,…
Definition of HBase HBase: HBase is a column-oriented database system that provides high throughput access to large tables. What is a HBase used for? HBase is an open source, non-relational database used for distributed storage of large tables. It is designed to provide fast read and write access to large datasets in the form of…
Definition of Hadoop Hadoop: Hadoop is a software framework that supports the processing of large data sets in a distributed computing environment. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. What is a Hadoop used for? Hadoop is an open-source software framework used for…
Definition of Growth Curve Growth Curve – A growth curve is a graphical representation of the change in some quantity over time. It can show how the quantity changes over the entire range of time being studied, or it can focus on more specific intervals of time. The most common type of growth curve is…