Statistics: Statistics is the practice of collecting, analyzing, and drawing conclusions from data.
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…
A/B testing is a method of testing where two versions (A and B) of a web page or app are tested to determine which version produces better results.
Definition of Univariate Univariate: A univariate analysis is a data analysis technique that considers only one variable at a time.
Definition of Null Hypothesis The null hypothesis is a statement that is presumed to be true until evidence is presented to suggest otherwise. In statistics, the null hypothesis is typically contrasted with the alternative hypothesis, which is the statement that is posited if the null hypothesis is found to be false. The null hypothesis is…
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 Data Engineer Data Engineer: A data engineer is a professional who creates and maintains the data pipelines that allow a company to make use of data science. Data engineers are responsible for ensuring that data is correctly collected, cleansed, and organized, so that it can be used by data scientists to glean insights…