Quant
Definition of Quant
Quant: A quant is short for quantitative analyst.
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G-Model
ByDavis
Definition of G-Model G-Model: The G-Model is a data science model that is used to predict future events. It can be used to predict the behavior of customers, the sales of products, or the outcome of elections. What is a G-Model used for? A G-Model is a type of supervised machine learning algorithm used to…
Latent Dirichlet Allocation
ByDavis
Definition of Latent Dirichlet Allocation Latent Dirichlet Allocation: Latent class analysis (LCA) is a technique used in statistics and data mining for the analysis of categorical data. LCA is a type of cluster analysis that seeks to identify a finite number of unobserved classes (clusters) within a population. The detected classes are latent, meaning they…
Data
ByDavis
Definition of Data Data is the plural of datum, which is a single piece of information. In data science, data refers to the large set of information that is collected and analyzed. This information can be in any form, including text, numbers, images, or binary code. Data science is the process of extracting insights from…
Shapiro-Wilk Test
ByDavis
Definition of Shapiro-Wilk Test Shapiro-Wilk Test: A Shapiro-Wilk Test is a method used to determine whether a set of data follows a normal distribution. The test is named after its creators, Maurice Shapiro and Abraham Wilk.
Time-Series
ByDavis
Definition of Time-Series Time-Series: A time-series is a sequence of data points, usually measured at successive points in time. Time-series analysis is the process of examining these data points in order to identify and understand trends and patterns. Time-series data can be used to predict future events, track performance over time, or measure the impact…