Quant
Definition of Quant
Quant: A quant is short for quantitative analyst.
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Principal Component Analysis
ByDavis
Definition of Principal Component Analysis Principal component analysis (PCA) is a technique used to reduce the dimensionality of data. It does this by identifying the principal components of the data, which are the dimensions that account for the most variation in the data. PCA can be used to improve the performance of machine learning algorithms,…
Reinforcement Learning
ByDavis
Definition of Reinforcement Learning Reinforcement Learning: Reinforcement learning is a type of machine learning that allows machines to learn by trial and error. In reinforcement learning, the machine is given feedback after each trial, which allows it to learn which actions lead to positive outcomes. Reinforcement learning is often used to train robots or other…
Weighted Average
ByDavis
Definition of Weighted Average Weighted Average: Weighted average is a calculation that assigns a weight to each value in a set and then calculates the sum of those weights divided by the sum of the weights.
Feature Selection
ByDavis
Definition of Feature Selection Feature Selection: Feature selection is the process of choosing which features (or attributes) of a data set to use in order to solve a problem. This is an important step in data science, as it can help reduce the complexity of a problem and improve the accuracy of predictions or models….
Statistical Analysis System (SAS)
ByDavis
Definition of Statistical Analysis System (SAS) Statistical Analysis System (SAS): A Statistical Analysis System (SAS) is a software application used for statistical analysis. SAS is used to perform a variety of tasks, including data entry, data management, statistical analysis, report generation, and more. A Statistical Analysis System (SAS) is a software application used for statistical…