Neural Network: A neural network is a computer system modeled on the workings of the human brain. It is composed of interconnected processing nodes, or neurons, that can learn to recognize patterns of input data. A neural network is a type of machine learning algorithm that is used to model complex patterns in data.
Ad Hoc Analysis is an exploratory analysis technique used to uncover patterns or relationships in a dataset. Often times this work is performed “Ad Hoc” or “On The Fly”… meaning it it done in the moment.
Definition of Supervised Learning Supervised Learning: Supervised learning is a type of machine learning algorithm where the computer system is provided with a set of training data, and the task is to learn how to predict the correct output values for new data. The algorithm is “supervised” because each answer it provides is validated by…
Definition of Statistics Statistics: Statistics is the practice of collecting, analyzing, and drawing conclusions from data.
A categorical variable is a data type that represents qualitative information. For example, colors (red, blue, green), genders (male, female), and religions (Catholic, Protestant, Muslim) are all categorical…
Business Intelligence (BI) is the process of gathering, organizing, and analyzing data to help business leaders make better decisions. BI can include everything from analyzing sales data to tracking customer…
Definition of Exact Match Exact Match: Exact match is a term used in data science to describe a type of search algorithm that compares two strings of text and determines whether or not they are an exact match. What is an Exact Match used for? An Exact Match is a type of data matching algorithm…